Data 608 - Story 6 - What Is The State of Food Security and Nutrition in the US?
Enid Roman
2023-11-18
Reference:
https://usafacts.org/data/topics/people-society/poverty/
foodsecurity1 = read.csv("https://raw.githubusercontent.com/enidroman/Data_608_Knowledge_and_Visual_Analytics/main/foodsecurity_data_file_2001_to%202022.csv")
foodsecurity1## Year Category Subcategory
## 1 2001 All households
## 2 2001 Household composition With children < 18 years
## 3 2001 Household composition With children < 18 years
## 4 2001 Household composition With children < 18 years
## 5 2001 Household composition With children < 18 years
## 6 2001 Household composition With children < 18 years
## 7 2001 Household composition With children < 18 years
## 8 2001 Household composition With no children < 18 years
## 9 2001 Household composition With no children < 18 years
## 10 2001 Household composition With no children < 18 years
## 11 2001 Household composition With no children < 18 years
## 12 2001 Household composition With elderly
## 13 2001 Household composition With elderly
## 14 2001 Race/ethnicity of households White non-Hispanic
## 15 2001 Race/ethnicity of households Black non-Hispanic
## 16 2001 Race/ethnicity of households Hispanic
## 17 2001 Race/ethnicity of households Other
## 18 2001 Household income-to-poverty ratio Under 1.00
## 19 2001 Household income-to-poverty ratio Under 1.30
## 20 2001 Household income-to-poverty ratio Under 1.85
## 21 2001 Household income-to-poverty ratio 1.85 and over
## 22 2001 Household income-to-poverty ratio Income unknown
## 23 2001 Area of residence Inside metropolitan area
## 24 2001 Area of residence Inside metropolitan area
## 25 2001 Area of residence Inside metropolitan area
## 26 2001 Area of residence Outside metropolitan area
## 27 2001 Census geographic region Northeast
## 28 2001 Census geographic region Midwest
## 29 2001 Census geographic region South
## 30 2001 Census geographic region West
## 31 2002 All households
## 32 2002 Household composition With children < 18 years
## 33 2002 Household composition With children < 18 years
## 34 2002 Household composition With children < 18 years
## 35 2002 Household composition With children < 18 years
## 36 2002 Household composition With children < 18 years
## 37 2002 Household composition With children < 18 years
## 38 2002 Household composition With no children < 18 years
## 39 2002 Household composition With no children < 18 years
## 40 2002 Household composition With no children < 18 years
## 41 2002 Household composition With no children < 18 years
## 42 2002 Household composition With elderly
## 43 2002 Household composition With elderly
## 44 2002 Race/ethnicity of households White non-Hispanic
## 45 2002 Race/ethnicity of households Black non-Hispanic
## 46 2002 Race/ethnicity of households Hispanic
## 47 2002 Race/ethnicity of households Other
## 48 2002 Household income-to-poverty ratio Under 1.00
## 49 2002 Household income-to-poverty ratio Under 1.30
## 50 2002 Household income-to-poverty ratio Under 1.85
## 51 2002 Household income-to-poverty ratio 1.85 and over
## 52 2002 Household income-to-poverty ratio Income unknown
## 53 2002 Area of residence Inside metropolitan area
## 54 2002 Area of residence Inside metropolitan area
## 55 2002 Area of residence Inside metropolitan area
## 56 2002 Area of residence Outside metropolitan area
## 57 2002 Census geographic region Northeast
## 58 2002 Census geographic region Midwest
## 59 2002 Census geographic region South
## 60 2002 Census geographic region West
## 61 2003 All households
## 62 2003 Household composition With children < 18 years
## 63 2003 Household composition With children < 18 years
## 64 2003 Household composition With children < 18 years
## 65 2003 Household composition With children < 18 years
## 66 2003 Household composition With children < 18 years
## 67 2003 Household composition With children < 18 years
## 68 2003 Household composition With no children < 18 years
## 69 2003 Household composition With no children < 18 years
## 70 2003 Household composition With no children < 18 years
## 71 2003 Household composition With no children < 18 years
## 72 2003 Household composition With elderly
## 73 2003 Household composition With elderly
## 74 2003 Race/ethnicity of households White non-Hispanic
## 75 2003 Race/ethnicity of households Black non-Hispanic
## 76 2003 Race/ethnicity of households Hispanic
## 77 2003 Race/ethnicity of households Other
## 78 2003 Household income-to-poverty ratio Under 1.00
## 79 2003 Household income-to-poverty ratio Under 1.30
## 80 2003 Household income-to-poverty ratio Under 1.85
## 81 2003 Household income-to-poverty ratio 1.85 and over
## 82 2003 Household income-to-poverty ratio Income unknown
## 83 2003 Area of residence Inside metropolitan area
## 84 2003 Area of residence Inside metropolitan area
## 85 2003 Area of residence Inside metropolitan area
## 86 2003 Area of residence Outside metropolitan area
## 87 2003 Census geographic region Northeast
## 88 2003 Census geographic region Midwest
## 89 2003 Census geographic region South
## 90 2003 Census geographic region West
## 91 2004 All households
## 92 2004 Household composition With children < 18 years
## 93 2004 Household composition With children < 18 years
## 94 2004 Household composition With children < 18 years
## 95 2004 Household composition With children < 18 years
## 96 2004 Household composition With children < 18 years
## 97 2004 Household composition With children < 18 years
## 98 2004 Household composition With no children < 18 years
## 99 2004 Household composition With no children < 18 years
## 100 2004 Household composition With no children < 18 years
## 101 2004 Household composition With no children < 18 years
## 102 2004 Household composition With elderly
## 103 2004 Household composition With elderly
## 104 2004 Race/ethnicity of households White non-Hispanic
## 105 2004 Race/ethnicity of households Black non-Hispanic
## 106 2004 Race/ethnicity of households Hispanic
## 107 2004 Race/ethnicity of households Other
## 108 2004 Household income-to-poverty ratio Under 1.00
## 109 2004 Household income-to-poverty ratio Under 1.30
## 110 2004 Household income-to-poverty ratio Under 1.85
## 111 2004 Household income-to-poverty ratio 1.85 and over
## 112 2004 Household income-to-poverty ratio Income unknown
## 113 2004 Area of residence Inside metropolitan area
## 114 2004 Area of residence Inside metropolitan area
## 115 2004 Area of residence Inside metropolitan area
## 116 2004 Area of residence Outside metropolitan area
## 117 2004 Census geographic region Northeast
## 118 2004 Census geographic region Midwest
## 119 2004 Census geographic region South
## 120 2004 Census geographic region West
## 121 2005 All households
## 122 2005 Household composition With children < 18 years
## 123 2005 Household composition With children < 18 years
## 124 2005 Household composition With children < 18 years
## 125 2005 Household composition With children < 18 years
## 126 2005 Household composition With children < 18 years
## 127 2005 Household composition With children < 18 years
## 128 2005 Household composition With no children < 18 years
## 129 2005 Household composition With no children < 18 years
## 130 2005 Household composition With no children < 18 years
## 131 2005 Household composition With no children < 18 years
## 132 2005 Household composition With elderly
## 133 2005 Household composition With elderly
## 134 2005 Race/ethnicity of households White non-Hispanic
## 135 2005 Race/ethnicity of households Black non-Hispanic
## 136 2005 Race/ethnicity of households Hispanic
## 137 2005 Race/ethnicity of households Other
## 138 2005 Household income-to-poverty ratio Under 1.00
## 139 2005 Household income-to-poverty ratio Under 1.30
## 140 2005 Household income-to-poverty ratio Under 1.85
## 141 2005 Household income-to-poverty ratio 1.85 and over
## 142 2005 Household income-to-poverty ratio Income unknown
## 143 2005 Area of residence Inside metropolitan area
## 144 2005 Area of residence Inside metropolitan area
## 145 2005 Area of residence Inside metropolitan area
## 146 2005 Area of residence Outside metropolitan area
## 147 2005 Census geographic region Northeast
## 148 2005 Census geographic region Midwest
## 149 2005 Census geographic region South
## 150 2005 Census geographic region West
## 151 2006 All households
## 152 2006 Household composition With children < 18 years
## 153 2006 Household composition With children < 18 years
## 154 2006 Household composition With children < 18 years
## 155 2006 Household composition With children < 18 years
## 156 2006 Household composition With children < 18 years
## 157 2006 Household composition With children < 18 years
## 158 2006 Household composition With no children < 18 years
## 159 2006 Household composition With no children < 18 years
## 160 2006 Household composition With no children < 18 years
## 161 2006 Household composition With no children < 18 years
## 162 2006 Household composition With elderly
## 163 2006 Household composition With elderly
## 164 2006 Race/ethnicity of households White non-Hispanic
## 165 2006 Race/ethnicity of households Black non-Hispanic
## 166 2006 Race/ethnicity of households Hispanic
## 167 2006 Race/ethnicity of households Other
## 168 2006 Household income-to-poverty ratio Under 1.00
## 169 2006 Household income-to-poverty ratio Under 1.30
## 170 2006 Household income-to-poverty ratio Under 1.85
## 171 2006 Household income-to-poverty ratio 1.85 and over
## 172 2006 Household income-to-poverty ratio Income unknown
## 173 2006 Area of residence Inside metropolitan area
## 174 2006 Area of residence Inside metropolitan area
## 175 2006 Area of residence Inside metropolitan area
## 176 2006 Area of residence Outside metropolitan area
## 177 2006 Census geographic region Northeast
## 178 2006 Census geographic region Midwest
## 179 2006 Census geographic region South
## 180 2006 Census geographic region West
## 181 2007 All households
## 182 2007 Household composition With children < 18 years
## 183 2007 Household composition With children < 18 years
## 184 2007 Household composition With children < 18 years
## 185 2007 Household composition With children < 18 years
## 186 2007 Household composition With children < 18 years
## 187 2007 Household composition With children < 18 years
## 188 2007 Household composition With no children < 18 years
## 189 2007 Household composition With no children < 18 years
## 190 2007 Household composition With no children < 18 years
## 191 2007 Household composition With no children < 18 years
## 192 2007 Household composition With elderly
## 193 2007 Household composition With elderly
## 194 2007 Race/ethnicity of households White non-Hispanic
## 195 2007 Race/ethnicity of households Black non-Hispanic
## 196 2007 Race/ethnicity of households Hispanic
## 197 2007 Race/ethnicity of households Other
## 198 2007 Household income-to-poverty ratio Under 1.00
## 199 2007 Household income-to-poverty ratio Under 1.30
## 200 2007 Household income-to-poverty ratio Under 1.85
## 201 2007 Household income-to-poverty ratio 1.85 and over
## 202 2007 Household income-to-poverty ratio Income unknown
## 203 2007 Area of residence Inside metropolitan area
## 204 2007 Area of residence Inside metropolitan area
## 205 2007 Area of residence Inside metropolitan area
## 206 2007 Area of residence Outside metropolitan area
## 207 2007 Census geographic region Northeast
## 208 2007 Census geographic region Midwest
## 209 2007 Census geographic region South
## 210 2007 Census geographic region West
## 211 2008 All households
## 212 2008 Household composition With children < 18 years
## 213 2008 Household composition With children < 18 years
## 214 2008 Household composition With children < 18 years
## 215 2008 Household composition With children < 18 years
## 216 2008 Household composition With children < 18 years
## 217 2008 Household composition With children < 18 years
## 218 2008 Household composition With no children < 18 years
## 219 2008 Household composition With no children < 18 years
## 220 2008 Household composition With no children < 18 years
## 221 2008 Household composition With no children < 18 years
## 222 2008 Household composition With elderly
## 223 2008 Household composition With elderly
## 224 2008 Race/ethnicity of households White non-Hispanic
## 225 2008 Race/ethnicity of households Black non-Hispanic
## 226 2008 Race/ethnicity of households Hispanic
## 227 2008 Race/ethnicity of households Other
## 228 2008 Household income-to-poverty ratio Under 1.00
## 229 2008 Household income-to-poverty ratio Under 1.30
## 230 2008 Household income-to-poverty ratio Under 1.85
## 231 2008 Household income-to-poverty ratio 1.85 and over
## 232 2008 Household income-to-poverty ratio Income unknown
## 233 2008 Area of residence Inside metropolitan area
## 234 2008 Area of residence Inside metropolitan area
## 235 2008 Area of residence Inside metropolitan area
## 236 2008 Area of residence Outside metropolitan area
## 237 2008 Census geographic region Northeast
## 238 2008 Census geographic region Midwest
## 239 2008 Census geographic region South
## 240 2008 Census geographic region West
## 241 2009 All households
## 242 2009 Household composition With children < 18 years
## 243 2009 Household composition With children < 18 years
## 244 2009 Household composition With children < 18 years
## 245 2009 Household composition With children < 18 years
## 246 2009 Household composition With children < 18 years
## 247 2009 Household composition With children < 18 years
## 248 2009 Household composition With no children < 18 years
## 249 2009 Household composition With no children < 18 years
## 250 2009 Household composition With no children < 18 years
## 251 2009 Household composition With no children < 18 years
## 252 2009 Household composition With elderly
## 253 2009 Household composition With elderly
## 254 2009 Race/ethnicity of households White non-Hispanic
## 255 2009 Race/ethnicity of households Black non-Hispanic
## 256 2009 Race/ethnicity of households Hispanic
## 257 2009 Race/ethnicity of households Other
## 258 2009 Household income-to-poverty ratio Under 1.00
## 259 2009 Household income-to-poverty ratio Under 1.30
## 260 2009 Household income-to-poverty ratio Under 1.85
## 261 2009 Household income-to-poverty ratio 1.85 and over
## 262 2009 Household income-to-poverty ratio Income unknown
## 263 2009 Area of residence Inside metropolitan area
## 264 2009 Area of residence Inside metropolitan area
## 265 2009 Area of residence Inside metropolitan area
## 266 2009 Area of residence Outside metropolitan area
## 267 2009 Census geographic region Northeast
## 268 2009 Census geographic region Midwest
## 269 2009 Census geographic region South
## 270 2009 Census geographic region West
## 271 2010 All households
## 272 2010 Household composition With children < 18 years
## 273 2010 Household composition With children < 18 years
## 274 2010 Household composition With children < 18 years
## 275 2010 Household composition With children < 18 years
## 276 2010 Household composition With children < 18 years
## 277 2010 Household composition With children < 18 years
## 278 2010 Household composition With no children < 18 years
## 279 2010 Household composition With no children < 18 years
## 280 2010 Household composition With no children < 18 years
## 281 2010 Household composition With no children < 18 years
## 282 2010 Household composition With elderly
## 283 2010 Household composition With elderly
## 284 2010 Race/ethnicity of households White non-Hispanic
## 285 2010 Race/ethnicity of households Black non-Hispanic
## 286 2010 Race/ethnicity of households Hispanic
## 287 2010 Race/ethnicity of households Other
## 288 2010 Household income-to-poverty ratio Under 1.00
## 289 2010 Household income-to-poverty ratio Under 1.30
## 290 2010 Household income-to-poverty ratio Under 1.85
## 291 2010 Household income-to-poverty ratio 1.85 and over
## 292 2010 Household income-to-poverty ratio Income unknown
## 293 2010 Area of residence Inside metropolitan area
## 294 2010 Area of residence Inside metropolitan area
## 295 2010 Area of residence Inside metropolitan area
## 296 2010 Area of residence Outside metropolitan area
## 297 2010 Census geographic region Northeast
## 298 2010 Census geographic region Midwest
## 299 2010 Census geographic region South
## 300 2010 Census geographic region West
## 301 2011 All households
## 302 2011 Household composition With children < 18 years
## 303 2011 Household composition With children < 18 years
## 304 2011 Household composition With children < 18 years
## 305 2011 Household composition With children < 18 years
## 306 2011 Household composition With children < 18 years
## 307 2011 Household composition With children < 18 years
## 308 2011 Household composition With no children < 18 years
## 309 2011 Household composition With no children < 18 years
## 310 2011 Household composition With no children < 18 years
## 311 2011 Household composition With no children < 18 years
## 312 2011 Household composition With elderly
## 313 2011 Household composition With elderly
## 314 2011 Race/ethnicity of households White non-Hispanic
## 315 2011 Race/ethnicity of households Black non-Hispanic
## 316 2011 Race/ethnicity of households Hispanic
## 317 2011 Race/ethnicity of households Other
## 318 2011 Household income-to-poverty ratio Under 1.00
## 319 2011 Household income-to-poverty ratio Under 1.30
## 320 2011 Household income-to-poverty ratio Under 1.85
## 321 2011 Household income-to-poverty ratio 1.85 and over
## 322 2011 Household income-to-poverty ratio Income unknown
## 323 2011 Area of residence Inside metropolitan area
## 324 2011 Area of residence Inside metropolitan area
## 325 2011 Area of residence Inside metropolitan area
## 326 2011 Area of residence Outside metropolitan area
## 327 2011 Census geographic region Northeast
## 328 2011 Census geographic region Midwest
## 329 2011 Census geographic region South
## 330 2011 Census geographic region West
## 331 2012 All households
## 332 2012 Household composition With children < 18 years
## 333 2012 Household composition With children < 18 years
## 334 2012 Household composition With children < 18 years
## 335 2012 Household composition With children < 18 years
## 336 2012 Household composition With children < 18 years
## 337 2012 Household composition With children < 18 years
## 338 2012 Household composition With no children < 18 years
## 339 2012 Household composition With no children < 18 years
## 340 2012 Household composition With no children < 18 years
## 341 2012 Household composition With no children < 18 years
## 342 2012 Household composition With elderly
## 343 2012 Household composition With elderly
## 344 2012 Race/ethnicity of households White non-Hispanic
## 345 2012 Race/ethnicity of households Black non-Hispanic
## 346 2012 Race/ethnicity of households Hispanic
## 347 2012 Race/ethnicity of households Other
## 348 2012 Household income-to-poverty ratio Under 1.00
## 349 2012 Household income-to-poverty ratio Under 1.30
## 350 2012 Household income-to-poverty ratio Under 1.85
## 351 2012 Household income-to-poverty ratio 1.85 and over
## 352 2012 Household income-to-poverty ratio Income unknown
## 353 2012 Area of residence Inside metropolitan area
## 354 2012 Area of residence Inside metropolitan area
## 355 2012 Area of residence Inside metropolitan area
## 356 2012 Area of residence Outside metropolitan area
## 357 2012 Census geographic region Northeast
## 358 2012 Census geographic region Midwest
## 359 2012 Census geographic region South
## 360 2012 Census geographic region West
## 361 2013 All households
## 362 2013 Household composition With children < 18 years
## 363 2013 Household composition With children < 18 years
## 364 2013 Household composition With children < 18 years
## 365 2013 Household composition With children < 18 years
## 366 2013 Household composition With children < 18 years
## 367 2013 Household composition With children < 18 years
## 368 2013 Household composition With no children < 18 years
## 369 2013 Household composition With no children < 18 years
## 370 2013 Household composition With no children < 18 years
## 371 2013 Household composition With no children < 18 years
## 372 2013 Household composition With elderly
## 373 2013 Household composition With elderly
## 374 2013 Race/ethnicity of households White non-Hispanic
## 375 2013 Race/ethnicity of households Black non-Hispanic
## 376 2013 Race/ethnicity of households Hispanic
## 377 2013 Race/ethnicity of households Other
## 378 2013 Household income-to-poverty ratio Under 1.00
## 379 2013 Household income-to-poverty ratio Under 1.30
## 380 2013 Household income-to-poverty ratio Under 1.85
## 381 2013 Household income-to-poverty ratio 1.85 and over
## 382 2013 Household income-to-poverty ratio Income unknown
## 383 2013 Area of residence Inside metropolitan area
## 384 2013 Area of residence Inside metropolitan area
## 385 2013 Area of residence Inside metropolitan area
## 386 2013 Area of residence Outside metropolitan area
## 387 2013 Census geographic region Northeast
## 388 2013 Census geographic region Midwest
## 389 2013 Census geographic region South
## 390 2013 Census geographic region West
## 391 2014 All households
## 392 2014 Household composition With children < 18 years
## 393 2014 Household composition With children < 18 years
## 394 2014 Household composition With children < 18 years
## 395 2014 Household composition With children < 18 years
## 396 2014 Household composition With children < 18 years
## 397 2014 Household composition With children < 18 years
## 398 2014 Household composition With no children < 18 years
## 399 2014 Household composition With no children < 18 years
## 400 2014 Household composition With no children < 18 years
## 401 2014 Household composition With no children < 18 years
## 402 2014 Household composition With elderly
## 403 2014 Household composition With elderly
## 404 2014 Race/ethnicity of households White non-Hispanic
## 405 2014 Race/ethnicity of households Black non-Hispanic
## 406 2014 Race/ethnicity of households Hispanic
## 407 2014 Race/ethnicity of households Other
## 408 2014 Household income-to-poverty ratio Under 1.00
## 409 2014 Household income-to-poverty ratio Under 1.30
## 410 2014 Household income-to-poverty ratio Under 1.85
## 411 2014 Household income-to-poverty ratio 1.85 and over
## 412 2014 Household income-to-poverty ratio Income unknown
## 413 2014 Area of residence Inside metropolitan area
## 414 2014 Area of residence Inside metropolitan area
## 415 2014 Area of residence Inside metropolitan area
## 416 2014 Area of residence Outside metropolitan area
## 417 2014 Census geographic region Northeast
## 418 2014 Census geographic region Midwest
## 419 2014 Census geographic region South
## 420 2014 Census geographic region West
## 421 2015 All households
## 422 2015 Household composition With children < 18 years
## 423 2015 Household composition With children < 18 years
## 424 2015 Household composition With children < 18 years
## 425 2015 Household composition With children < 18 years
## 426 2015 Household composition With children < 18 years
## 427 2015 Household composition With children < 18 years
## 428 2015 Household composition With no children < 18 years
## 429 2015 Household composition With no children < 18 years
## 430 2015 Household composition With no children < 18 years
## 431 2015 Household composition With no children < 18 years
## 432 2015 Household composition With elderly
## 433 2015 Household composition With elderly
## 434 2015 Race/ethnicity of households White non-Hispanic
## 435 2015 Race/ethnicity of households Black non-Hispanic
## 436 2015 Race/ethnicity of households Hispanic
## 437 2015 Race/ethnicity of households Other
## 438 2015 Household income-to-poverty ratio Under 1.00
## 439 2015 Household income-to-poverty ratio Under 1.30
## 440 2015 Household income-to-poverty ratio Under 1.85
## 441 2015 Household income-to-poverty ratio 1.85 and over
## 442 2015 Household income-to-poverty ratio Income unknown
## 443 2015 Area of residence Inside metropolitan area
## 444 2015 Area of residence Inside metropolitan area
## 445 2015 Area of residence Inside metropolitan area
## 446 2015 Area of residence Outside metropolitan area
## 447 2015 Census geographic region Northeast
## 448 2015 Census geographic region Midwest
## 449 2015 Census geographic region South
## 450 2015 Census geographic region West
## 451 2016 All households
## 452 2016 Household composition With children < 18 years
## 453 2016 Household composition With children < 18 years
## 454 2016 Household composition With children < 18 years
## 455 2016 Household composition With children < 18 years
## 456 2016 Household composition With children < 18 years
## 457 2016 Household composition With children < 18 years
## 458 2016 Household composition With no children < 18 years
## 459 2016 Household composition With no children < 18 years
## 460 2016 Household composition With no children < 18 years
## 461 2016 Household composition With no children < 18 years
## 462 2016 Household composition With elderly
## 463 2016 Household composition With elderly
## 464 2016 Race/ethnicity of households White non-Hispanic
## 465 2016 Race/ethnicity of households Black non-Hispanic
## 466 2016 Race/ethnicity of households Hispanic
## 467 2016 Race/ethnicity of households Other
## 468 2016 Household income-to-poverty ratio Under 1.00
## 469 2016 Household income-to-poverty ratio Under 1.30
## 470 2016 Household income-to-poverty ratio Under 1.85
## 471 2016 Household income-to-poverty ratio 1.85 and over
## 472 2016 Household income-to-poverty ratio Income unknown
## 473 2016 Area of residence Inside metropolitan area
## 474 2016 Area of residence Inside metropolitan area
## 475 2016 Area of residence Inside metropolitan area
## 476 2016 Area of residence Outside metropolitan area
## 477 2016 Census geographic region Northeast
## 478 2016 Census geographic region Midwest
## 479 2016 Census geographic region South
## 480 2016 Census geographic region West
## 481 2017 All households
## 482 2017 Household composition With children < 18 years
## 483 2017 Household composition With children < 18 years
## 484 2017 Household composition With children < 18 years
## 485 2017 Household composition With children < 18 years
## 486 2017 Household composition With children < 18 years
## 487 2017 Household composition With children < 18 years
## 488 2017 Household composition With no children < 18 years
## 489 2017 Household composition With no children < 18 years
## 490 2017 Household composition With no children < 18 years
## 491 2017 Household composition With no children < 18 years
## 492 2017 Household composition With elderly
## 493 2017 Household composition With elderly
## 494 2017 Race/ethnicity of households White non-Hispanic
## 495 2017 Race/ethnicity of households Black non-Hispanic
## 496 2017 Race/ethnicity of households Hispanic
## 497 2017 Race/ethnicity of households Other
## 498 2017 Household income-to-poverty ratio Under 1.00
## 499 2017 Household income-to-poverty ratio Under 1.30
## 500 2017 Household income-to-poverty ratio Under 1.85
## 501 2017 Household income-to-poverty ratio 1.85 and over
## 502 2017 Household income-to-poverty ratio Income unknown
## 503 2017 Area of residence Inside metropolitan area
## 504 2017 Area of residence Inside metropolitan area
## 505 2017 Area of residence Inside metropolitan area
## 506 2017 Area of residence Outside metropolitan area
## 507 2017 Census geographic region Northeast
## 508 2017 Census geographic region Midwest
## 509 2017 Census geographic region South
## 510 2017 Census geographic region West
## 511 2018 All households
## 512 2018 Household composition With children < 18 years
## 513 2018 Household composition With children < 18 years
## 514 2018 Household composition With children < 18 years
## 515 2018 Household composition With children < 18 years
## 516 2018 Household composition With children < 18 years
## 517 2018 Household composition With children < 18 years
## 518 2018 Household composition With no children < 18 years
## 519 2018 Household composition With no children < 18 years
## 520 2018 Household composition With no children < 18 years
## 521 2018 Household composition With no children < 18 years
## 522 2018 Household composition With elderly
## 523 2018 Household composition With elderly
## 524 2018 Race/ethnicity of households White non-Hispanic
## 525 2018 Race/ethnicity of households Black non-Hispanic
## 526 2018 Race/ethnicity of households Hispanic
## 527 2018 Race/ethnicity of households Other
## 528 2018 Household income-to-poverty ratio Under 1.00
## 529 2018 Household income-to-poverty ratio Under 1.30
## 530 2018 Household income-to-poverty ratio Under 1.85
## 531 2018 Household income-to-poverty ratio 1.85 and over
## 532 2018 Household income-to-poverty ratio Income unknown
## 533 2018 Area of residence Inside metropolitan area
## 534 2018 Area of residence Inside metropolitan area
## 535 2018 Area of residence Inside metropolitan area
## 536 2018 Area of residence Outside metropolitan area
## 537 2018 Census geographic region Northeast
## 538 2018 Census geographic region Midwest
## 539 2018 Census geographic region South
## 540 2018 Census geographic region West
## 541 2019 All households
## 542 2019 Household composition With children < 18 years
## 543 2019 Household composition With children < 18 years
## 544 2019 Household composition With children < 18 years
## 545 2019 Household composition With children < 18 years
## 546 2019 Household composition With children < 18 years
## 547 2019 Household composition With children < 18 years
## 548 2019 Household composition With no children < 18 years
## 549 2019 Household composition With no children < 18 years
## 550 2019 Household composition With no children < 18 years
## 551 2019 Household composition With no children < 18 years
## 552 2019 Household composition With elderly
## 553 2019 Household composition With elderly
## 554 2019 Race/ethnicity of households White non-Hispanic
## 555 2019 Race/ethnicity of households Black non-Hispanic
## 556 2019 Race/ethnicity of households Hispanic
## 557 2019 Race/ethnicity of households Other
## 558 2019 Household income-to-poverty ratio Under 1.00
## 559 2019 Household income-to-poverty ratio Under 1.30
## 560 2019 Household income-to-poverty ratio Under 1.85
## 561 2019 Household income-to-poverty ratio 1.85 and over
## 562 2019 Household income-to-poverty ratio Income unknown
## 563 2019 Area of residence Inside metropolitan area
## 564 2019 Area of residence Inside metropolitan area
## 565 2019 Area of residence Inside metropolitan area
## 566 2019 Area of residence Outside metropolitan area
## 567 2019 Census geographic region Northeast
## 568 2019 Census geographic region Midwest
## 569 2019 Census geographic region South
## 570 2019 Census geographic region West
## 571 2020 All households
## 572 2020 Household composition With children < 18 years
## 573 2020 Household composition With children < 18 years
## 574 2020 Household composition With children < 18 years
## 575 2020 Household composition With children < 18 years
## 576 2020 Household composition With children < 18 years
## 577 2020 Household composition With children < 18 years
## 578 2020 Household composition With no children < 18 years
## 579 2020 Household composition With no children < 18 years
## 580 2020 Household composition With no children < 18 years
## 581 2020 Household composition With no children < 18 years
## 582 2020 Household composition With elderly
## 583 2020 Household composition With elderly
## 584 2020 Race/ethnicity of households White non-Hispanic
## 585 2020 Race/ethnicity of households Black non-Hispanic
## 586 2020 Race/ethnicity of households Hispanic
## 587 2020 Race/ethnicity of households Other
## 588 2020 Household income-to-poverty ratio Under 1.00
## 589 2020 Household income-to-poverty ratio Under 1.30
## 590 2020 Household income-to-poverty ratio Under 1.85
## 591 2020 Household income-to-poverty ratio 1.85 and over
## 592 2020 Household income-to-poverty ratio Income unknown
## 593 2020 Area of residence Inside metropolitan area
## 594 2020 Area of residence Inside metropolitan area
## 595 2020 Area of residence Inside metropolitan area
## 596 2020 Area of residence Outside metropolitan area
## 597 2020 Census geographic region Northeast
## 598 2020 Census geographic region Midwest
## 599 2020 Census geographic region South
## 600 2020 Census geographic region West
## 601 2021 All households
## 602 2021 Household composition With children < 18 years
## 603 2021 Household composition With children < 18 years
## 604 2021 Household composition With children < 18 years
## 605 2021 Household composition With children < 18 years
## 606 2021 Household composition With children < 18 years
## 607 2021 Household composition With children < 18 years
## 608 2021 Household composition With no children < 18 years
## 609 2021 Household composition With no children < 18 years
## 610 2021 Household composition With no children < 18 years
## 611 2021 Household composition With no children < 18 years
## 612 2021 Household composition With elderly
## 613 2021 Household composition With elderly
## 614 2021 Race/ethnicity of households White non-Hispanic
## 615 2021 Race/ethnicity of households Black non-Hispanic
## 616 2021 Race/ethnicity of households Hispanic
## 617 2021 Race/ethnicity of households Other
## 618 2021 Household income-to-poverty ratio Under 1.00
## 619 2021 Household income-to-poverty ratio Under 1.30
## 620 2021 Household income-to-poverty ratio Under 1.85
## 621 2021 Household income-to-poverty ratio 1.85 and over
## 622 2021 Household income-to-poverty ratio Income unknown
## 623 2021 Area of residence Inside metropolitan area
## 624 2021 Area of residence Inside metropolitan area
## 625 2021 Area of residence Inside metropolitan area
## 626 2021 Area of residence Outside metropolitan area
## 627 2021 Census geographic region Northeast
## 628 2021 Census geographic region Midwest
## 629 2021 Census geographic region South
## 630 2021 Census geographic region West
## 631 2022 All households
## 632 2022 Household composition With children < 18 years
## 633 2022 Household composition With children < 18 years
## 634 2022 Household composition With children < 18 years
## 635 2022 Household composition With children < 18 years
## 636 2022 Household composition With children < 18 years
## 637 2022 Household composition With children < 18 years
## 638 2022 Household composition With no children < 18 years
## 639 2022 Household composition With no children < 18 years
## 640 2022 Household composition With no children < 18 years
## 641 2022 Household composition With no children < 18 years
## 642 2022 Household composition With elderly
## 643 2022 Household composition With elderly
## 644 2022 Race/ethnicity of households White non-Hispanic
## 645 2022 Race/ethnicity of households Black non-Hispanic
## 646 2022 Race/ethnicity of households Hispanic
## 647 2022 Race/ethnicity of households Other
## 648 2022 Household income-to-poverty ratio Under 1.00
## 649 2022 Household income-to-poverty ratio Under 1.30
## 650 2022 Household income-to-poverty ratio Under 1.85
## 651 2022 Household income-to-poverty ratio 1.85 and over
## 652 2022 Household income-to-poverty ratio Income unknown
## 653 2022 Area of residence Inside metropolitan area
## 654 2022 Area of residence Inside metropolitan area
## 655 2022 Area of residence Inside metropolitan area
## 656 2022 Area of residence Outside metropolitan area
## 657 2022 Census geographic region Northeast
## 658 2022 Census geographic region Midwest
## 659 2022 Census geographic region South
## 660 2022 Census geographic region West
## Sub.subcategory Total Food.secure.1.000 Food.secure.percent
## 1 107824 96303 89.3
## 2 38330 32141 83.9
## 3 With children < 6 years 16858 13920 82.6
## 4 Married-couple families 26182 23389 89.3
## 5 Female head, no spouse 9080 6185 68.1
## 6 Male head, no spouse 2389 2009 84.1
## 7 Other household with child 678 555 81.9
## 8 69495 64163 92.3
## 9 More than one adult 40791 38328 94.0
## 10 Women living alone 16513 14915 90.3
## 11 Men living alone 12192 10922 89.6
## 12 24836 23458 94.5
## 13 Elderly living alone 10390 9758 93.9
## 14 80337 74230 92.4
## 15 13134 10331 78.7
## 16 9864 7717 78.2
## 17 4489 4026 89.7
## 18 11693 7426 63.5
## 19 16904 11450 67.7
## 20 25395 18316 72.1
## 21 63851 60743 95.1
## 22 18579 17245 92.8
## 23 86945 77826 89.5
## 24 In principal cities 26701 22987 86.1
## 25 Not in principal cities 45380 41622 91.7
## 26 20879 18476 88.5
## 27 20320 18656 91.8
## 28 25063 22805 91.0
## 29 38867 34073 87.7
## 30 23575 20771 88.1
## 31 108601 96543 88.9
## 32 38647 32268 83.5
## 33 With children < 6 years 17073 14039 82.2
## 34 Married-couple families 26069 23357 89.6
## 35 Female head, no spouse 9496 6456 68.0
## 36 Male head, no spouse 2375 1855 78.1
## 37 Other household with child 707 599 84.7
## 38 69954 64276 91.9
## 39 More than one adult 41538 38929 93.7
## 40 Women living alone 16174 14472 89.5
## 41 Men living alone 12242 10875 88.8
## 42 24791 23229 93.7
## 43 Elderly living alone 10072 9327 92.6
## 44 80266 73859 92.0
## 45 13515 10546 78.0
## 46 10344 8099 78.3
## 47 4475 4038 90.2
## 48 11515 7128 61.9
## 49 17010 11272 66.3
## 50 25134 17802 70.8
## 51 64263 60997 94.9
## 52 19204 17744 92.4
## 53 87617 77997 89.0
## 54 In principal cities 26922 23047 85.6
## 55 Not in principal cities 45552 41542 91.2
## 56 20983 18545 88.4
## 57 20242 18372 90.8
## 58 25180 22755 90.4
## 59 39195 34325 87.6
## 60 23984 21090 87.9
## 61 112214 99631 88.8
## 62 40286 33575 83.3
## 63 With children < 6 years 18110 14933 82.5
## 64 Married-couple families 27484 24503 89.2
## 65 Female head, no spouse 9623 6572 68.3
## 66 Male head, no spouse 2475 1937 78.3
## 67 Other household with child 704 563 80.0
## 68 71928 66057 91.8
## 69 More than one adult 42553 39753 93.4
## 70 Women living alone 16724 15032 89.9
## 71 Men living alone 12651 11271 89.1
## 72 25946 24391 94.0
## 73 Elderly living alone 10574 9921 93.8
## 74 81080 74733 92.2
## 75 13156 10251 77.9
## 76 12034 9347 77.7
## 77 5944 5301 89.2
## 78 12739 8266 64.9
## 79 18143 12245 67.5
## 80 27104 19357 71.4
## 81 62145 59116 95.1
## 82 22965 21160 92.1
## 83 90708 80611 88.9
## 84 In principal cities 27682 23581 85.2
## 85 Not in principal cities 47243 42996 91.0
## 86 21505 19020 88.4
## 87 21306 19267 90.4
## 88 25941 23360 90.1
## 89 40554 35541 87.6
## 90 24412 21463 87.9
## 91 112967 99473 88.1
## 92 39990 32967 82.4
## 93 With children < 6 years 17922 14606 81.5
## 94 Married-couple families 27065 23926 88.4
## 95 Female head, no spouse 9641 6459 67.0
## 96 Male head, no spouse 2693 2096 77.8
## 97 Other household with child 592 487 82.3
## 98 72977 66506 91.1
## 99 More than one adult 43177 40278 93.3
## 100 Women living alone 17012 15010 88.2
## 101 Men living alone 12788 11219 87.7
## 102 26202 24510 93.5
## 103 Elderly living alone 10693 9911 92.7
## 104 81388 74383 91.4
## 105 13509 10303 76.3
## 106 12014 9404 78.3
## 107 6056 5382 88.9
## 108 13347 8438 63.2
## 109 18367 12118 66.0
## 110 28081 19700 70.2
## 111 63575 60138 94.6
## 112 21311 19636 92.1
## 113 92474 81661 88.3
## 114 In principal cities 30312 25650 84.6
## 115 Not in principal cities 46444 42279 91.0
## 116 20492 17811 86.9
## 117 21038 19006 90.3
## 118 25957 23126 89.1
## 119 41157 35693 86.7
## 120 24815 21648 87.2
## 121 114437 101851 89.0
## 122 39601 33404 84.4
## 123 With children < 6 years 17615 14671 83.3
## 124 Married-couple families 26776 24130 90.1
## 125 Female head, no spouse 9659 6680 69.2
## 126 Male head, no spouse 2536 2082 82.1
## 127 Other household with child 630 510 81.0
## 128 74836 68448 91.5
## 129 More than one adult 44267 41306 93.3
## 130 Women living alone 17019 15147 89.0
## 131 Men living alone 13550 11996 88.5
## 132 26609 25017 94.0
## 133 Elderly living alone 10749 10063 93.6
## 134 82144 75444 91.8
## 135 13732 10658 77.6
## 136 12397 10176 82.1
## 137 6164 5573 90.4
## 138 12646 8098 64.0
## 139 17264 11526 66.8
## 140 27205 19515 71.7
## 141 65030 61621 94.8
## 142 22202 20717 93.3
## 143 94945 84706 89.2
## 144 In principal cities 31708 27429 86.5
## 145 Not in principal cities 46998 42932 91.3
## 146 19492 17146 88.0
## 147 21196 19272 90.9
## 148 26387 23454 88.9
## 149 41653 36650 88.0
## 150 25202 22475 89.2
## 151 115609 102961 89.1
## 152 39436 33278 84.4
## 153 With children < 6 years 17161 14295 83.3
## 154 Married-couple families 26614 23916 89.9
## 155 Female head, no spouse 9572 6665 69.6
## 156 Male head, no spouse 2618 2174 83.0
## 157 Other household with child 633 522 82.5
## 158 76173 69683 91.5
## 159 More than one adult 44742 41822 93.5
## 160 Women living alone 17587 15600 88.7
## 161 Men living alone 13844 12261 88.6
## 162 26840 25242 94.0
## 163 Elderly living alone 10499 9880 94.1
## 164 82268 75810 92.2
## 165 14054 10991 78.2
## 166 12879 10367 80.5
## 167 6409 5793 90.4
## 168 11829 7533 63.7
## 169 16830 11265 66.9
## 170 27613 20075 72.7
## 171 64495 61059 94.7
## 172 23500 21826 92.9
## 173 96192 85870 89.3
## 174 In principal cities 32054 27832 86.8
## 175 Not in principal cities 47541 43243 91.0
## 176 19417 17091 88.0
## 177 21302 19343 90.8
## 178 26560 23717 89.3
## 179 42283 37099 87.7
## 180 25464 22802 89.5
## 181 117100 104089 88.9
## 182 39390 33160 84.2
## 183 With children < 6 years 17549 14550 82.9
## 184 Married-couple families 26645 23852 89.5
## 185 Female head, no spouse 9458 6600 69.8
## 186 Male head, no spouse 2621 2150 82.0
## 187 Other household with child 667 560 84.0
## 188 77710 70928 91.3
## 189 More than one adult 45350 42291 93.3
## 190 Women living alone 18395 16242 88.3
## 191 Men living alone 13966 12396 88.8
## 192 27469 25692 93.5
## 193 Elderly living alone 10746 9963 92.7
## 194 82882 76342 92.1
## 195 14209 11057 77.8
## 196 13378 10694 79.9
## 197 6632 5996 90.4
## 198 11688 7282 62.3
## 199 17395 11451 65.8
## 200 27378 19534 71.3
## 201 65898 62244 94.5
## 202 23825 22312 93.6
## 203 97572 86850 89.0
## 204 In principal cities 32843 28420 86.5
## 205 Not in principal cities 47971 43640 91.0
## 206 19528 17239 88.3
## 207 21353 19147 89.7
## 208 26506 23658 89.3
## 209 43246 38145 88.2
## 210 25995 23139 89.0
## 211 117565 100416 85.4
## 212 39699 31364 79.0
## 213 With children < 6 years 17503 13595 77.7
## 214 Married-couple families 26705 22887 85.7
## 215 Female head, no spouse 9639 6057 62.8
## 216 Male head, no spouse 2782 2013 72.4
## 217 Other household with child 572 405 70.8
## 218 77866 69052 88.7
## 219 More than one adult 45772 41610 90.9
## 220 Women living alone 17934 15266 85.1
## 221 Men living alone 14160 12177 86.0
## 222 28211 25927 91.9
## 223 Elderly living alone 11148 10168 91.2
## 224 82935 74041 89.3
## 225 14441 10732 74.3
## 226 13504 9873 73.1
## 227 6686 5772 86.3
## 228 13117 7576 57.8
## 229 20383 12427 61.0
## 230 29680 19622 66.1
## 231 70433 65038 92.3
## 232 17452 15755 90.3
## 233 98189 83790 85.3
## 234 In principal cities 32808 27006 82.3
## 235 Not in principal cities 48239 42125 87.3
## 236 19375 16625 85.8
## 237 21341 18616 87.2
## 238 26370 22671 86.0
## 239 43542 36621 84.1
## 240 26311 22507 85.5
## 241 118174 100820 85.3
## 242 39525 31114 78.7
## 243 With children < 6 years 17598 13566 77.1
## 244 Married-couple families 26334 22475 85.3
## 245 Female head, no spouse 9700 6146 63.4
## 246 Male head, no spouse 2883 2082 72.2
## 247 Other household with child 607 410 67.5
## 248 78649 69706 88.6
## 249 More than one adult 46677 42404 90.8
## 250 Women living alone 17662 15064 85.3
## 251 Men living alone 14310 12238 85.5
## 252 28912 26743 92.5
## 253 Elderly living alone 11300 10416 92.2
## 254 83259 74066 89.0
## 255 14519 10908 75.1
## 256 13566 9922 73.1
## 257 6830 5926 86.8
## 258 13193 7525 57.0
## 259 19913 12000 60.3
## 260 29454 19194 65.2
## 261 63983 59125 92.4
## 262 24738 22503 91.0
## 263 98336 83803 85.2
## 264 In principal cities 32690 27059 82.8
## 265 Not in principal cities 48698 42261 86.8
## 266 19838 17017 85.8
## 267 21403 18787 87.8
## 268 26512 22836 86.1
## 269 43842 36885 84.1
## 270 26417 22312 84.5
## 271 118756 101527 85.5
## 272 39419 31447 79.8
## 273 With children < 6 years 17780 13899 78.2
## 274 Married-couple families 25729 22179 86.2
## 275 Female head, no spouse 10081 6547 64.9
## 276 Male head, no spouse 2980 2223 74.6
## 277 Other household with child 629 498 79.2
## 278 79337 70080 88.3
## 279 More than one adult 47112 42468 90.1
## 280 Women living alone 17644 15218 86.3
## 281 Men living alone 14582 12394 85.0
## 282 29438 27102 92.1
## 283 Elderly living alone 11565 10640 92.0
## 284 83113 74117 89.2
## 285 14600 10941 74.9
## 286 14109 10416 73.8
## 287 6933 6052 87.3
## 288 15133 9056 59.8
## 289 20907 13039 62.4
## 290 30101 19940 66.2
## 291 62335 57710 92.6
## 292 26319 23876 90.7
## 293 98657 84379 85.5
## 294 In principal cities 32732 27171 83.0
## 295 Not in principal cities 49000 42831 87.4
## 296 20099 17147 85.3
## 297 21731 19036 87.6
## 298 26589 23062 86.7
## 299 44270 37203 84.0
## 300 26166 22226 84.9
## 301 119484 101631 85.1
## 302 38803 30814 79.4
## 303 With children < 6 years 17281 13494 78.1
## 304 Married-couple families 25421 21879 86.1
## 305 Female head, no spouse 9690 6124 63.2
## 306 Male head, no spouse 3055 2295 75.1
## 307 Other household with child 638 517 81.0
## 308 80681 70817 87.8
## 309 More than one adult 47863 43103 90.1
## 310 Women living alone 18021 15205 84.4
## 311 Men living alone 14796 12508 84.5
## 312 30099 27579 91.6
## 313 Elderly living alone 11402 10400 91.2
## 314 83304 73823 88.6
## 315 14765 11066 74.9
## 316 14410 10629 73.8
## 317 7005 6113 87.3
## 318 15557 9164 58.9
## 319 22168 13825 62.4
## 320 31437 20593 65.5
## 321 62244 57888 93.0
## 322 25802 23149 89.7
## 323 99835 84999 85.1
## 324 In principal cities 33515 27597 82.3
## 325 Not in principal cities 49253 42770 86.8
## 326 19649 16632 84.6
## 327 21650 18736 86.5
## 328 26359 22798 86.5
## 329 44772 37618 84.0
## 330 26703 22478 84.2
## 331 121546 103914 85.5
## 332 39201 31354 80.0
## 333 With children < 6 years 17325 13770 79.5
## 334 Married-couple families 25233 21907 86.8
## 335 Female head, no spouse 10373 6705 64.6
## 336 Male head, no spouse 3008 2299 76.4
## 337 Other household with child 587 443 75.5
## 338 82345 72560 88.1
## 339 More than one adult 49577 44726 90.2
## 340 Women living alone 17903 15162 84.7
## 341 Men living alone 14865 12673 85.3
## 342 31932 29122 91.2
## 343 Elderly living alone 11706 10643 90.9
## 344 83217 73914 88.8
## 345 14976 11287 75.4
## 346 15613 11982 76.7
## 347 7740 6730 87.0
## 348 15547 9196 59.1
## 349 21797 13472 61.8
## 350 31259 20534 65.7
## 351 64274 59882 93.2
## 352 26013 23497 90.3
## 353 101476 86961 85.7
## 354 In principal cities 33959 28214 83.1
## 355 Not in principal cities 50358 43957 87.3
## 356 20070 16953 84.5
## 357 21693 19102 88.1
## 358 27051 23222 85.8
## 359 45731 38404 84.0
## 360 27071 23186 85.6
## 361 122579 105070 85.7
## 362 38486 30979 80.5
## 363 With children < 6 years 16942 13405 79.1
## 364 Married-couple families 24896 21700 87.2
## 365 Female head, no spouse 10025 6577 65.6
## 366 Male head, no spouse 3025 2327 76.9
## 367 Other household with child 540 374 69.3
## 368 84093 74092 88.1
## 369 More than one adult 50145 45201 90.1
## 370 Women living alone 18686 15853 84.8
## 371 Men living alone 15263 13038 85.4
## 372 33244 30354 91.3
## 373 Elderly living alone 12341 11232 91.0
## 374 83496 74636 89.4
## 375 15311 11322 73.9
## 376 15648 11939 76.3
## 377 8124 7175 88.3
## 378 14819 8583 57.9
## 379 20715 12657 61.1
## 380 29809 19429 65.2
## 381 62985 58774 93.3
## 382 29786 26869 90.2
## 383 102936 88384 85.9
## 384 In principal cities 34425 28667 83.3
## 385 Not in principal cities 51077 44904 87.9
## 386 19643 16686 84.9
## 387 21894 19190 87.6
## 388 27097 23420 86.4
## 389 46256 38974 84.3
## 390 27331 23486 85.9
## 391 124044 106618 86.0
## 392 39079 31590 80.8
## 393 With children < 6 years 17211 13786 80.1
## 394 Married-couple families 25376 22226 87.6
## 395 Female head, no spouse 9912 6411 64.7
## 396 Male head, no spouse 3237 2533 78.3
## 397 Other household with child 554 419 75.6
## 398 84965 75029 88.3
## 399 More than one adult 50621 45731 90.3
## 400 Women living alone 19062 16149 84.7
## 401 Men living alone 15283 13150 86.0
## 402 34269 31230 91.1
## 403 Elderly living alone 12792 11608 90.7
## 404 84127 75335 89.5
## 405 15424 11393 73.9
## 406 16148 12527 77.6
## 407 8346 7365 88.2
## 408 15812 9560 60.5
## 409 20783 13009 62.6
## 410 31376 20790 66.3
## 411 64200 60153 93.7
## 412 28468 25676 90.2
## 413 104931 90781 86.5
## 414 In principal cities 35672 30085 84.3
## 415 Not in principal cities 51892 45779 88.2
## 416 19114 15839 82.9
## 417 22156 19209 86.7
## 418 27260 23489 86.2
## 419 46869 39803 84.9
## 420 27760 24119 86.9
## 421 125164 109315 87.3
## 422 38978 32519 83.4
## 423 With children < 6 years 16995 14129 83.1
## 424 Married-couple families 25232 22670 89.8
## 425 Female head, no spouse 10117 7052 69.7
## 426 Male head, no spouse 3133 2432 77.6
## 427 Other household with child 496 366 73.8
## 428 86187 76796 89.1
## 429 More than one adult 51357 46976 91.5
## 430 Women living alone 18954 16169 85.3
## 431 Men living alone 15876 13652 86.0
## 432 35265 32340 91.7
## 433 Elderly living alone 13137 11932 90.8
## 434 83931 75563 90.0
## 435 15734 12357 78.5
## 436 16803 13592 80.9
## 437 8695 7803 89.7
## 438 14070 8687 61.7
## 439 18917 11954 63.2
## 440 28994 19479 67.2
## 441 65319 61552 94.2
## 442 30851 28282 91.7
## 443 106990 93947 87.8
## 444 In principal cities 36809 31606 85.9
## 445 Not in principal cities 53585 48023 89.6
## 446 18175 15369 84.6
## 447 22300 19640 88.1
## 448 27199 23727 87.2
## 449 47389 41101 86.7
## 450 28277 24848 87.9
## 451 126401 110850 87.7
## 452 38400 32059 83.5
## 453 With children < 6 years 16571 13820 83.4
## 454 Married-couple families 25031 22560 90.1
## 455 Female head, no spouse 9780 6692 68.4
## 456 Male head, no spouse 3070 2403 78.3
## 457 Other household with child 519 404 77.8
## 458 88001 78792 89.5
## 459 More than one adult 52353 48162 92.0
## 460 Women living alone 19649 16910 86.1
## 461 Men living alone 15999 13719 85.7
## 462 36335 33496 92.2
## 463 Elderly living alone 13529 12326 91.1
## 464 84087 76271 90.7
## 465 15940 12346 77.5
## 466 17054 13907 81.5
## 467 9319 8325 89.3
## 468 13929 8598 61.7
## 469 18522 11917 64.3
## 470 29025 19860 68.4
## 471 67785 64001 94.4
## 472 29590 26988 91.2
## 473 108118 95315 88.2
## 474 In principal cities 37176 31879 85.8
## 475 Not in principal cities 54399 49222 90.5
## 476 18283 15535 85.0
## 477 22669 20217 89.2
## 478 27307 23976 87.8
## 479 47966 41476 86.5
## 480 28458 25180 88.5
## 481 127272 112254 88.2
## 482 37942 31976 84.3
## 483 With children < 6 years 16200 13551 83.6
## 484 Married-couple families 24744 22383 90.5
## 485 Female head, no spouse 9561 6663 69.7
## 486 Male head, no spouse 3057 2455 80.3
## 487 Other household with child 581 476 81.9
## 488 89330 80278 89.9
## 489 More than one adult 53107 48997 92.3
## 490 Women living alone 19963 17195 86.1
## 491 Men living alone 16260 14087 86.6
## 492 37805 34814 92.1
## 493 Elderly living alone 14312 13078 91.4
## 494 84548 77083 91.2
## 495 16358 12799 78.2
## 496 17197 14108 82.0
## 497 9169 8263 90.1
## 498 12871 8135 63.2
## 499 17271 11318 65.5
## 500 27012 18699 69.2
## 501 69442 65405 94.2
## 502 30818 28150 91.3
## 503 108977 96401 88.5
## 504 In principal cities 37365 32199 86.2
## 505 Not in principal cities 55330 50152 90.6
## 506 18295 15853 86.7
## 507 22520 20280 90.1
## 508 27581 24346 88.3
## 509 48281 41817 86.6
## 510 28890 25811 89.3
## 511 129245 114934 88.9
## 512 37612 32369 86.1
## 513 With children < 6 years 16306 13967 85.7
## 514 Married-couple families 24598 22558 91.7
## 515 Female head, no spouse 9349 6753 72.2
## 516 Male head, no spouse 3238 2722 84.1
## 517 Other household with child 427 337 78.9
## 518 91633 82565 90.1
## 519 More than one adult 54274 50222 92.5
## 520 Women living alone 20225 17352 85.8
## 521 Men living alone 17134 14991 87.5
## 522 39125 36191 92.5
## 523 Elderly living alone 14988 13652 91.1
## 524 84975 78106 91.9
## 525 16613 13087 78.8
## 526 18101 15164 83.8
## 527 9556 8577 89.8
## 528 12140 7855 64.7
## 529 17061 11419 66.9
## 530 26836 19033 70.9
## 531 70795 66964 94.6
## 532 31614 28937 91.5
## 533 111051 99053 89.2
## 534 In principal cities 37881 32877 86.8
## 535 Not in principal cities 55847 50855 91.1
## 536 18194 15882 87.3
## 537 22517 20227 89.8
## 538 27791 24781 89.2
## 539 49814 43829 88.0
## 540 29123 26098 89.6
## 541 129621 115959 89.5
## 542 37614 32480 86.4
## 543 With children < 6 years 16115 13783 85.5
## 544 Married-couple families 24382 22543 92.5
## 545 Female head, no spouse 9349 6663 71.3
## 546 Male head, no spouse 3311 2802 84.6
## 547 Other household with child 572 472 82.5
## 548 92007 83479 90.7
## 549 More than one adult 54420 50762 93.3
## 550 Women living alone 20886 18161 87.0
## 551 Men living alone 16701 14556 87.2
## 552 40220 37318 92.8
## 553 Elderly living alone 15329 13996 91.3
## 554 85196 78438 92.1
## 555 16504 13356 80.9
## 556 18035 15216 84.4
## 557 9886 8949 90.5
## 558 11208 7301 65.1
## 559 15848 10615 67.0
## 560 26604 19248 72.4
## 561 70457 66880 94.9
## 562 32560 29832 91.6
## 563 111547 100071 89.7
## 564 In principal cities 38411 33662 87.6
## 565 Not in principal cities 55517 50923 91.7
## 566 18073 15887 87.9
## 567 22293 20154 90.4
## 568 27894 24956 89.5
## 569 50136 44527 88.8
## 570 29298 26322 89.8
## 571 130459 116705 89.5
## 572 37903 32280 85.2
## 573 With children < 6 years 16119 13655 84.7
## 574 Married-couple families 24420 22091 90.5
## 575 Female head, no spouse 9774 7070 72.3
## 576 Male head, no spouse 3296 2758 83.7
## 577 Other household with child 413 362 87.7
## 578 92556 84425 91.2
## 579 More than one adult 54662 50775 92.9
## 580 Women living alone 20881 18579 89.0
## 581 Men living alone 17013 15072 88.6
## 582 41050 38218 93.1
## 583 Elderly living alone 15566 14280 91.7
## 584 85466 79387 92.9
## 585 16686 13058 78.3
## 586 18543 15359 82.8
## 587 9764 8903 91.2
## 588 10514 6800 64.7
## 589 16474 11021 66.9
## 590 25649 18305 71.4
## 591 70710 67263 95.1
## 592 34100 31138 91.3
## 593 112150 100523 89.6
## 594 In principal cities 38788 33875 87.3
## 595 Not in principal cities 56007 51059 91.2
## 596 18308 16181 88.4
## 597 22247 20177 90.7
## 598 27757 25114 90.5
## 599 50770 44536 87.7
## 600 29685 26878 90.5
## 601 132043 118533 89.8
## 602 36765 32170 87.5
## 603 With children < 6 years 15406 13418 87.1
## 604 Married-couple families 23849 22088 92.6
## 605 Female head, no spouse 9197 6965 75.7
## 606 Male head, no spouse 3194 2678 83.8
## 607 Other household with child 524 438 83.6
## 608 95278 86364 90.6
## 609 More than one adult 56113 52215 93.1
## 610 Women living alone 21641 18781 86.8
## 611 Men living alone 17524 15367 87.7
## 612 42501 39473 92.9
## 613 Elderly living alone 16056 14530 90.5
## 614 85866 79843 93.0
## 615 16951 13597 80.2
## 616 19082 15983 83.8
## 617 10144 9112 89.8
## 618 11920 8092 67.9
## 619 16994 11722 69.0
## 620 26506 19470 73.5
## 621 71721 68135 95.0
## 622 33816 30929 91.5
## 623 113842 102295 89.9
## 624 In principal cities 38360 33684 87.8
## 625 Not in principal cities 58118 53029 91.2
## 626 18201 16240 89.2
## 627 22516 20525 91.2
## 628 28301 25505 90.1
## 629 51183 45373 88.6
## 630 30044 27132 90.3
## 631 132730 115750 87.2
## 632 37235 30798 82.7
## 633 With children < 6 years 15551 12948 83.3
## 634 Married-couple families 24152 21572 89.3
## 635 Female head, no spouse 9207 6160 66.9
## 636 Male head, no spouse 3437 2708 78.8
## 637 Other household with child 439 358 81.5
## 638 95494 84951 89.0
## 639 More than one adult 55904 51110 91.4
## 640 Women living alone 21247 18037 84.9
## 641 Men living alone 18344 15805 86.2
## 642 42670 38775 90.9
## 643 Elderly living alone 16381 14509 88.6
## 644 85603 77682 90.7
## 645 17271 13406 77.6
## 646 19507 15453 79.2
## 647 10348 9208 89.0
## 648 12948 8193 63.3
## 649 18338 11891 64.8
## 650 27305 18563 68.0
## 651 76680 71500 93.2
## 652 28744 25685 89.4
## 653 114666 100347 87.5
## 654 In principal cities 38197 32359 84.7
## 655 Not in principal cities 59281 53079 89.5
## 656 18063 15401 85.3
## 657 22807 20161 88.4
## 658 28581 25050 87.6
## 659 51529 44058 85.5
## 660 29814 26481 88.8
## Food.insecure.1.000 Food.insecure.percent Low.food.security.1.000
## 1 11521 10.7 8010
## 2 6189 16.1 4744
## 3 2938 17.4 2304
## 4 2793 10.7 2247
## 5 2895 31.9 2101
## 6 380 15.9 298
## 7 123 18.1 99
## 8 5332 7.7 3266
## 9 2463 6.0 1595
## 10 1598 9.7 952
## 11 1270 10.4 718
## 12 1378 5.5 1002
## 13 632 6.1 426
## 14 6107 7.6 4072
## 15 2803 21.3 1986
## 16 2147 21.8 1613
## 17 463 10.3 339
## 18 4267 36.5 2763
## 19 5454 32.3 3609
## 20 7079 27.9 4811
## 21 3108 4.9 2284
## 22 1334 7.2 915
## 23 9119 10.5 6281
## 24 3714 13.9 2442
## 25 3758 8.3 2633
## 26 2403 11.5 1730
## 27 1664 8.2 1176
## 28 2258 9.0 1502
## 29 4794 12.3 3395
## 30 2804 11.9 1937
## 31 12058 11.1 8259
## 32 6379 16.5 4899
## 33 3034 17.8 2450
## 34 2712 10.4 2204
## 35 3040 32.0 2212
## 36 520 21.9 381
## 37 108 15.3 102
## 38 5678 8.1 3360
## 39 2609 6.3 1651
## 40 1702 10.5 985
## 41 1367 11.2 724
## 42 1562 6.3 1099
## 43 745 7.4 490
## 44 6407 8.0 4294
## 45 2969 22.0 1999
## 46 2245 21.7 1654
## 47 437 9.8 313
## 48 4387 38.1 2736
## 49 5738 33.7 3681
## 50 7332 29.2 4894
## 51 3266 5.1 2321
## 52 1460 7.6 1044
## 53 9620 11.0 6528
## 54 3875 14.4 2517
## 55 4010 8.8 2791
## 56 2438 11.6 1731
## 57 1870 9.2 1266
## 58 2425 9.6 1602
## 59 4870 12.4 3442
## 60 2894 12.1 1950
## 61 12583 11.2 8663
## 62 6711 16.7 5165
## 63 3177 17.5 2516
## 64 2981 10.8 2446
## 65 3051 31.7 2210
## 66 538 21.7 401
## 67 141 20.0 108
## 68 5871 8.2 3498
## 69 2800 6.6 1840
## 70 1692 10.1 964
## 71 1380 10.9 694
## 72 1555 6.0 1105
## 73 653 6.2 430
## 74 6347 7.8 4169
## 75 2905 22.1 2010
## 76 2687 22.3 2034
## 77 643 10.8 450
## 78 4473 35.1 2863
## 79 5898 32.5 3845
## 80 7747 28.6 5107
## 81 3029 4.9 2274
## 82 1805 7.9 1281
## 83 10097 11.1 6903
## 84 4101 14.8 2804
## 85 4247 9.0 2879
## 86 2485 11.6 1760
## 87 2039 9.6 1343
## 88 2581 9.9 1752
## 89 5013 12.4 3472
## 90 2949 12.1 2096
## 91 13494 11.9 9045
## 92 7023 17.6 5311
## 93 3316 18.5 2573
## 94 3139 11.6 2509
## 95 3182 33.0 2291
## 96 597 22.2 428
## 97 105 17.7 83
## 98 6471 8.9 3734
## 99 2899 6.7 1834
## 100 2002 11.8 1084
## 101 1569 12.3 816
## 102 1692 6.5 1227
## 103 782 7.3 517
## 104 7005 8.6 4632
## 105 3206 23.7 2108
## 106 2610 21.7 1903
## 107 674 11.1 403
## 108 4909 36.8 3098
## 109 6249 34.0 3994
## 110 8381 29.8 5443
## 111 3437 5.4 2443
## 112 1675 7.9 1158
## 113 10813 11.7 7246
## 114 4662 15.4 3114
## 115 4165 9.0 2865
## 116 2681 13.1 1799
## 117 2032 9.7 1430
## 118 2831 10.9 1889
## 119 5464 13.3 3605
## 120 3167 12.8 2121
## 121 12586 11.0 8158
## 122 6197 15.6 4580
## 123 2944 16.7 2265
## 124 2646 9.9 2040
## 125 2979 30.8 2143
## 126 454 17.9 315
## 127 120 19.0 83
## 128 6388 8.5 3577
## 129 2961 6.7 1799
## 130 1872 11.0 1008
## 131 1554 11.5 770
## 132 1592 6.0 1105
## 133 686 6.4 473
## 134 6700 8.2 4305
## 135 3074 22.4 1894
## 136 2221 17.9 1559
## 137 591 9.6 400
## 138 4548 36.0 2836
## 139 5738 33.2 3555
## 140 7690 28.3 4813
## 141 3409 5.2 2327
## 142 1485 6.7 1017
## 143 10239 10.8 6593
## 144 4279 13.5 2661
## 145 4066 8.7 2686
## 146 2346 12.0 1565
## 147 1924 9.1 1338
## 148 2933 11.1 1859
## 149 5003 12.0 3173
## 150 2727 10.8 1789
## 151 12648 10.9 8031
## 152 6158 15.6 4481
## 153 2866 16.7 2141
## 154 2698 10.1 2140
## 155 2907 30.4 1925
## 156 444 17.0 333
## 157 111 17.5 84
## 158 6490 8.5 3550
## 159 2920 6.5 1769
## 160 1987 11.3 971
## 161 1583 11.4 810
## 162 1598 6.0 1108
## 163 619 5.9 394
## 164 6458 7.8 3937
## 165 3063 21.8 1944
## 166 2512 19.5 1780
## 167 616 9.6 370
## 168 4296 36.3 2540
## 169 5565 33.1 3363
## 170 7538 27.3 4593
## 171 3436 5.3 2364
## 172 1674 7.1 1074
## 173 10322 10.7 6557
## 174 4222 13.2 2622
## 175 4298 9.0 2793
## 176 2326 12.0 1474
## 177 1959 9.2 1195
## 178 2843 10.7 1804
## 179 5184 12.3 3361
## 180 2662 10.5 1671
## 181 13011 11.1 8262
## 182 6230 15.8 4376
## 183 2999 17.1 2251
## 184 2793 10.5 2074
## 185 2858 30.2 1882
## 186 471 18.0 335
## 187 107 16.0 84
## 188 6782 8.7 3887
## 189 3059 6.7 1851
## 190 2153 11.7 1179
## 191 1570 11.2 856
## 192 1777 6.5 1131
## 193 783 7.3 480
## 194 6540 7.9 4008
## 195 3152 22.2 2064
## 196 2684 20.1 1798
## 197 636 9.6 392
## 198 4406 37.7 2669
## 199 5944 34.2 3574
## 200 7844 28.7 4780
## 201 3654 5.5 2429
## 202 1513 6.4 1053
## 203 10722 11.0 6807
## 204 4423 13.5 2772
## 205 4331 9.0 2865
## 206 2289 11.7 1455
## 207 2206 10.3 1469
## 208 2848 10.7 1741
## 209 5101 11.8 3262
## 210 2856 11.0 1790
## 211 17149 14.6 10426
## 212 8335 21.0 5718
## 213 3908 22.3 2818
## 214 3818 14.3 2735
## 215 3582 37.2 2296
## 216 769 27.6 569
## 217 167 29.2 118
## 218 8814 11.3 4708
## 219 4162 9.1 2409
## 220 2668 14.9 1284
## 221 1983 14.0 1015
## 222 2284 8.1 1402
## 223 980 8.8 552
## 224 8894 10.7 5154
## 225 3709 25.7 2251
## 226 3631 26.9 2439
## 227 914 13.7 582
## 228 5541 42.2 3014
## 229 7956 39.0 4403
## 230 10058 33.9 5731
## 231 5395 7.7 3595
## 232 1697 9.7 1101
## 233 14399 14.7 8757
## 234 5802 17.7 3634
## 235 6114 12.7 3650
## 236 2750 14.2 1669
## 237 2725 12.8 1610
## 238 3699 14.0 2254
## 239 6921 15.9 4216
## 240 3804 14.5 2346
## 241 17354 14.7 10601
## 242 8411 21.3 5812
## 243 4032 22.9 2896
## 244 3859 14.7 2818
## 245 3554 36.6 2300
## 246 801 27.8 561
## 247 197 32.5 133
## 248 8943 11.4 4789
## 249 4273 9.2 2443
## 250 2598 14.7 1288
## 251 2072 14.5 1058
## 252 2169 7.5 1416
## 253 884 7.8 536
## 254 9193 11.0 5394
## 255 3611 24.9 2259
## 256 3644 26.9 2388
## 257 904 13.2 559
## 258 5668 43.0 3221
## 259 7913 39.7 4520
## 260 10260 34.8 6020
## 261 4858 7.6 3161
## 262 2235 9.0 1420
## 263 14533 14.8 8843
## 264 5631 17.2 3417
## 265 6437 13.2 3912
## 266 2821 14.2 1757
## 267 2616 12.2 1591
## 268 3676 13.9 2251
## 269 6957 15.9 4228
## 270 4105 15.5 2531
## 271 17229 14.5 10872
## 272 7972 20.2 5724
## 273 3881 21.8 2850
## 274 3550 13.8 2636
## 275 3534 35.1 2450
## 276 757 25.4 558
## 277 131 20.8 81
## 278 9257 11.7 5148
## 279 4644 9.9 2781
## 280 2426 13.7 1329
## 281 2188 15.0 1038
## 282 2336 7.9 1563
## 283 925 8.0 551
## 284 8996 10.8 5512
## 285 3659 25.1 2332
## 286 3693 26.2 2507
## 287 881 12.7 521
## 288 6077 40.2 3584
## 289 7868 37.6 4757
## 290 10161 33.8 6232
## 291 4625 7.4 3092
## 292 2443 9.3 1548
## 293 14278 14.5 9015
## 294 5561 17.0 3491
## 295 6169 12.6 3902
## 296 2952 14.7 1858
## 297 2695 12.4 1665
## 298 3527 13.3 2153
## 299 7067 16.0 4591
## 300 3940 15.1 2463
## 301 17853 14.9 11014
## 302 7989 20.6 5750
## 303 3787 21.9 2884
## 304 3542 13.9 2671
## 305 3566 36.8 2452
## 306 760 24.9 532
## 307 121 19.0 96
## 308 9864 12.2 5264
## 309 4760 9.9 2778
## 310 2816 15.6 1387
## 311 2288 15.5 1099
## 312 2520 8.4 1589
## 313 1002 8.8 579
## 314 9481 11.4 5689
## 315 3699 25.1 2155
## 316 3781 26.2 2583
## 317 892 12.7 587
## 318 6393 41.1 3616
## 319 8343 37.6 4763
## 320 10844 34.5 6376
## 321 4356 7.0 2938
## 322 2653 10.3 1700
## 323 14836 14.9 9163
## 324 5918 17.7 3646
## 325 6483 13.2 4013
## 326 3017 15.4 1851
## 327 2914 13.5 1777
## 328 3561 13.5 2141
## 329 7154 16.0 4431
## 330 4225 15.8 2665
## 331 17632 14.5 10679
## 332 7847 20.0 5478
## 333 3555 20.5 2608
## 334 3326 13.2 2500
## 335 3668 35.4 2351
## 336 709 23.6 519
## 337 144 24.5 108
## 338 9785 11.9 5201
## 339 4851 9.8 2695
## 340 2741 15.3 1400
## 341 2192 14.7 1106
## 342 2810 8.8 1682
## 343 1063 9.1 595
## 344 9303 11.2 5452
## 345 3689 24.6 2136
## 346 3631 23.3 2469
## 347 1010 13.0 623
## 348 6351 40.9 3526
## 349 8325 38.2 4676
## 350 10725 34.3 6197
## 351 4392 6.8 2916
## 352 2516 9.7 1567
## 353 14515 14.3 8809
## 354 5745 16.9 3468
## 355 6401 12.7 3930
## 356 3117 15.5 1870
## 357 2591 11.9 1594
## 358 3829 14.2 2128
## 359 7327 16.0 4660
## 360 3885 14.4 2297
## 361 17509 14.3 10664
## 362 7507 19.5 5240
## 363 3537 20.9 2556
## 364 3196 12.8 2283
## 365 3448 34.4 2362
## 366 698 23.1 501
## 367 166 30.7 95
## 368 10001 11.9 5423
## 369 4944 9.9 2913
## 370 2833 15.2 1453
## 371 2225 14.6 1058
## 372 2890 8.7 1866
## 373 1109 9.0 657
## 374 8860 10.6 5033
## 375 3989 26.1 2442
## 376 3709 23.7 2660
## 377 949 11.7 528
## 378 6236 42.1 3489
## 379 8058 38.9 4589
## 380 10380 34.8 6089
## 381 4211 6.7 2784
## 382 2917 9.8 1790
## 383 14552 14.1 8857
## 384 5758 16.7 3593
## 385 6173 12.1 3721
## 386 2957 15.1 1807
## 387 2704 12.4 1636
## 388 3677 13.6 2198
## 389 7282 15.7 4421
## 390 3845 14.1 2408
## 391 17426 14.0 10488
## 392 7489 19.2 5147
## 393 3425 19.9 2457
## 394 3150 12.4 2346
## 395 3501 35.3 2230
## 396 704 21.7 476
## 397 135 24.4 96
## 398 9936 11.7 5340
## 399 4890 9.7 2772
## 400 2913 15.3 1541
## 401 2133 14.0 1027
## 402 3039 8.9 1941
## 403 1184 9.3 704
## 404 8792 10.5 4966
## 405 4031 26.1 2434
## 406 3621 22.4 2502
## 407 981 11.8 585
## 408 6252 39.5 3409
## 409 7774 37.4 4290
## 410 10586 33.7 6030
## 411 4047 6.3 2683
## 412 2792 9.8 1775
## 413 14150 13.5 8601
## 414 5587 15.7 3476
## 415 6113 11.8 3600
## 416 3275 17.1 1886
## 417 2947 13.3 1789
## 418 3771 13.8 2180
## 419 7066 15.1 4235
## 420 3641 13.1 2284
## 421 15849 12.7 9540
## 422 6459 16.6 4557
## 423 2866 16.9 2146
## 424 2562 10.2 1923
## 425 3065 30.3 2109
## 426 701 22.4 443
## 427 130 26.2 82
## 428 9391 10.9 4983
## 429 4381 8.5 2504
## 430 2785 14.7 1413
## 431 2224 14.0 1065
## 432 2925 8.3 1789
## 433 1205 9.2 657
## 434 8368 10.0 4759
## 435 3377 21.5 2127
## 436 3211 19.1 2132
## 437 892 10.3 521
## 438 5383 38.3 3006
## 439 6963 36.8 3966
## 440 9515 32.8 5572
## 441 3767 5.8 2376
## 442 2569 8.3 1593
## 443 13043 12.2 7843
## 444 5203 14.1 3240
## 445 5562 10.4 3304
## 446 2806 15.4 1697
## 447 2660 11.9 1616
## 448 3472 12.8 2069
## 449 6288 13.3 3750
## 450 3429 12.1 2105
## 451 15551 12.3 9413
## 452 6341 16.5 4501
## 453 2751 16.6 1923
## 454 2471 9.9 1843
## 455 3088 31.6 2061
## 456 667 21.7 509
## 457 115 22.2 NA
## 458 9209 10.5 4911
## 459 4191 8.0 2411
## 460 2739 13.9 1420
## 461 2280 14.3 1080
## 462 2839 7.8 1786
## 463 1203 8.9 733
## 464 7816 9.3 4591
## 465 3594 22.5 2048
## 466 3147 18.5 2152
## 467 994 10.7 622
## 468 5331 38.3 2920
## 469 6605 35.7 3725
## 470 9165 31.6 5319
## 471 3784 5.6 2499
## 472 2602 8.8 1595
## 473 12803 11.8 7868
## 474 5297 14.2 3117
## 475 5177 9.5 3286
## 476 2748 15.0 1545
## 477 2452 10.8 1594
## 478 3331 12.2 1871
## 479 6490 13.5 3890
## 480 3278 11.5 2057
## 481 15018 11.8 9261
## 482 5966 15.7 4421
## 483 2649 16.4 2008
## 484 2361 9.5 1876
## 485 2898 30.3 2038
## 486 602 19.7 429
## 487 105 18.1 <NA>
## 488 9052 10.1 4840
## 489 4110 7.7 2357
## 490 2768 13.9 1362
## 491 2173 13.4 1120
## 492 2991 7.9 1833
## 493 1234 8.6 710
## 494 7465 8.8 4389
## 495 3559 21.8 2164
## 496 3089 18.0 2137
## 497 906 9.9 572
## 498 4736 36.8 2641
## 499 5953 34.5 3387
## 500 8313 30.8 4901
## 501 4037 5.8 2783
## 502 2668 8.7 1577
## 503 12576 11.5 7807
## 504 5166 13.8 3132
## 505 5178 9.4 3204
## 506 2442 13.3 1454
## 507 2240 9.9 1486
## 508 3235 11.7 1909
## 509 6464 13.4 3995
## 510 3079 10.7 1871
## 511 14311 11.1 8730
## 512 5243 13.9 3750
## 513 2339 14.3 1720
## 514 2040 8.3 1633
## 515 2596 27.8 1715
## 516 516 15.9 346
## 517 90 21.1 <NA>
## 518 9068 9.9 4980
## 519 4052 7.5 2413
## 520 2873 14.2 1552
## 521 2143 12.5 1015
## 522 2934 7.5 1918
## 523 1336 8.9 824
## 524 6869 8.1 4109
## 525 3526 21.2 2021
## 526 2937 16.2 2018
## 527 979 10.2 582
## 528 4285 35.3 2356
## 529 5642 33.1 3186
## 530 7803 29.1 4584
## 531 3831 5.4 2517
## 532 2677 8.5 1629
## 533 11998 10.8 7299
## 534 5004 13.2 2984
## 535 4992 8.9 3083
## 536 2312 12.7 1430
## 537 2290 10.2 1341
## 538 3010 10.8 1914
## 539 5985 12.0 3582
## 540 3025 10.4 1892
## 541 13662 10.5 8340
## 542 5134 13.6 3677
## 543 2332 14.5 1736
## 544 1839 7.5 1494
## 545 2686 28.7 1790
## 546 509 15.4 313
## 547 100 17.5 <NA>
## 548 8528 9.3 4663
## 549 3658 6.7 2185
## 550 2725 13.0 1386
## 551 2145 12.8 1092
## 552 2902 7.2 1842
## 553 1333 8.7 801
## 554 6758 7.9 3966
## 555 3148 19.1 1891
## 556 2819 15.6 1937
## 557 937 9.5 546
## 558 3907 34.9 2167
## 559 5233 33.0 3002
## 560 7356 27.6 4384
## 561 3577 5.1 2387
## 562 2728 8.4 1569
## 563 11476 10.3 6990
## 564 4749 12.4 2875
## 565 4594 8.3 2867
## 566 2186 12.1 1350
## 567 2139 9.6 1303
## 568 2938 10.5 1778
## 569 5609 11.2 3352
## 570 2976 10.2 1907
## 571 13754 10.5 8613
## 572 5623 14.8 4166
## 573 2464 15.3 1927
## 574 2329 9.5 1869
## 575 2704 27.7 1905
## 576 538 16.3 357
## 577 51 12.3 <NA>
## 578 8131 8.8 4447
## 579 3887 7.1 2247
## 580 2302 11.0 1229
## 581 1941 11.4 970
## 582 2832 6.9 1797
## 583 1286 8.3 755
## 584 6079 7.1 3547
## 585 3628 21.7 2295
## 586 3184 17.2 2263
## 587 861 8.8 507
## 588 3714 35.3 2203
## 589 5453 33.1 3307
## 590 7344 28.6 4582
## 591 3447 4.9 2283
## 592 2962 8.7 1748
## 593 11627 10.4 7319
## 594 4913 12.7 2974
## 595 4948 8.8 3263
## 596 2127 11.6 1294
## 597 2070 9.3 1337
## 598 2643 9.5 1416
## 599 6234 12.3 4055
## 600 2807 9.5 1805
## 601 13510 10.2 8428
## 602 4595 12.5 3277
## 603 1988 12.9 1473
## 604 1761 7.4 1344
## 605 2232 24.3 1497
## 606 516 16.2 374
## 607 86 16.4 <NA>
## 608 8914 9.4 5150
## 609 3898 6.9 2458
## 610 2860 13.2 1568
## 611 2157 12.3 1125
## 612 3028 7.1 1858
## 613 1526 9.5 798
## 614 6023 7.0 3754
## 615 3354 19.8 2019
## 616 3099 16.2 2059
## 617 1032 10.2 595
## 618 3828 32.1 2187
## 619 5272 31.0 3127
## 620 7036 26.5 4320
## 621 3586 5.0 2328
## 622 2887 8.5 1779
## 623 11547 10.1 7219
## 624 4676 12.2 2899
## 625 5089 8.8 3228
## 626 1961 10.8 1208
## 627 1991 8.8 1263
## 628 2796 9.9 1737
## 629 5810 11.4 3605
## 630 2912 9.7 1822
## 631 16980 12.8 10187
## 632 6437 17.3 4404
## 633 2603 16.7 1769
## 634 2580 10.7 1965
## 635 3047 33.1 1890
## 636 729 21.2 488
## 637 81 18.5 <NA>
## 638 10543 11.0 5783
## 639 4794 8.6 2712
## 640 3210 15.1 1759
## 641 2539 13.8 1311
## 642 3895 9.1 2438
## 643 1872 11.4 1119
## 644 7921 9.3 4522
## 645 3865 22.4 2283
## 646 4054 20.8 2682
## 647 1140 11.0 700
## 648 4755 36.7 2592
## 649 6447 35.2 3583
## 650 8742 32.0 5044
## 651 5180 6.8 3343
## 652 3059 10.6 1801
## 653 14319 12.5 8592
## 654 5838 15.3 3495
## 655 6202 10.5 3703
## 656 2662 14.7 1595
## 657 2646 11.6 1661
## 658 3531 12.4 1963
## 659 7471 14.5 4536
## 660 3333 11.2 2027
## Low.food.security.percent Very.low.food.security.1.000
## 1 7.4 3511
## 2 12.4 1445
## 3 13.7 634
## 4 8.6 546
## 5 23.1 794
## 6 12.5 82
## 7 14.6 24
## 8 4.7 2066
## 9 3.9 868
## 10 5.8 646
## 11 5.9 552
## 12 4.0 376
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## 454 7.4 628
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## 458 5.6 4298
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## 573 12.0 537
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## 603 9.6 515
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## 632 11.8 2033
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## 634 8.2 615
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## 636 14.2 241
## 637 NA NA
## 638 6.0 4760
## 639 4.9 2082
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## 644 5.3 3399
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## 660 6.8 1306
## Very.low.food.security.percent
## 1 3.3
## 2 3.8
## 3 3.8
## 4 2.1
## 5 8.7
## 6 3.4
## 7 3.5
## 8 3.0
## 9 2.1
## 10 3.9
## 11 4.5
## 12 1.5
## 13 2.0
## 14 2.5
## 15 6.2
## 16 5.4
## 17 2.8
## 18 12.9
## 19 10.9
## 20 8.9
## 21 1.3
## 22 2.3
## 23 3.3
## 24 4.8
## 25 2.5
## 26 3.2
## 27 2.4
## 28 3.0
## 29 3.6
## 30 3.7
## 31 3.5
## 32 3.8
## 33 3.4
## 34 1.9
## 35 8.7
## 36 5.9
## 37 0.8
## 38 3.3
## 39 2.3
## 40 4.4
## 41 5.3
## 42 1.9
## 43 2.5
## 44 2.6
## 45 7.2
## 46 5.7
## 47 2.8
## 48 14.3
## 49 12.1
## 50 9.7
## 51 1.5
## 52 2.2
## 53 3.5
## 54 5.0
## 55 2.7
## 56 3.4
## 57 3.0
## 58 3.3
## 59 3.6
## 60 3.9
## 61 3.5
## 62 3.8
## 63 3.6
## 64 1.9
## 65 8.7
## 66 5.5
## 67 4.7
## 68 3.3
## 69 2.3
## 70 4.4
## 71 5.4
## 72 1.7
## 73 2.1
## 74 2.7
## 75 6.8
## 76 5.4
## 77 3.2
## 78 12.6
## 79 11.3
## 80 9.7
## 81 1.2
## 82 2.3
## 83 3.5
## 84 4.7
## 85 2.9
## 86 3.4
## 87 3.3
## 88 3.2
## 89 3.8
## 90 3.5
## 91 3.9
## 92 4.3
## 93 4.1
## 94 2.3
## 95 9.2
## 96 6.3
## 97 3.7
## 98 3.8
## 99 2.5
## 100 5.4
## 101 5.9
## 102 1.8
## 103 2.5
## 104 2.9
## 105 8.1
## 106 5.9
## 107 4.5
## 108 13.6
## 109 12.3
## 110 10.5
## 111 1.6
## 112 2.4
## 113 3.9
## 114 5.1
## 115 2.8
## 116 4.3
## 117 2.9
## 118 3.6
## 119 4.5
## 120 4.2
## 121 3.9
## 122 4.1
## 123 3.9
## 124 2.3
## 125 8.7
## 126 5.5
## 127 5.9
## 128 3.8
## 129 2.6
## 130 5.1
## 131 5.8
## 132 1.8
## 133 2.0
## 134 2.9
## 135 8.6
## 136 5.3
## 137 3.1
## 138 13.5
## 139 12.6
## 140 10.6
## 141 1.7
## 142 2.1
## 143 3.8
## 144 5.1
## 145 2.9
## 146 4.0
## 147 2.8
## 148 4.1
## 149 4.4
## 150 3.7
## 151 4.0
## 152 4.3
## 153 4.2
## 154 2.1
## 155 10.3
## 156 4.2
## 157 4.3
## 158 3.9
## 159 2.6
## 160 5.8
## 161 5.6
## 162 1.8
## 163 2.1
## 164 3.1
## 165 8.0
## 166 5.7
## 167 3.8
## 168 14.8
## 169 13.1
## 170 10.7
## 171 1.7
## 172 2.6
## 173 3.9
## 174 5.0
## 175 3.2
## 176 4.4
## 177 3.6
## 178 3.9
## 179 4.3
## 180 3.9
## 181 4.1
## 182 4.7
## 183 4.3
## 184 2.7
## 185 10.3
## 186 5.2
## 187 3.4
## 188 3.7
## 189 2.7
## 190 5.3
## 191 5.1
## 192 2.4
## 193 2.8
## 194 3.1
## 195 7.7
## 196 6.6
## 197 3.7
## 198 14.9
## 199 13.6
## 200 11.2
## 201 1.9
## 202 1.9
## 203 4.0
## 204 5.0
## 205 3.1
## 206 4.3
## 207 3.5
## 208 4.2
## 209 4.3
## 210 4.1
## 211 5.7
## 212 6.6
## 213 6.2
## 214 4.1
## 215 13.3
## 216 7.2
## 217 8.6
## 218 5.3
## 219 3.8
## 220 7.7
## 221 6.8
## 222 3.1
## 223 3.8
## 224 4.5
## 225 10.1
## 226 8.8
## 227 5.0
## 228 19.3
## 229 17.4
## 230 14.6
## 231 2.6
## 232 3.4
## 233 5.7
## 234 6.6
## 235 5.1
## 236 5.6
## 237 5.2
## 238 5.5
## 239 6.2
## 240 5.5
## 241 5.7
## 242 6.6
## 243 6.5
## 244 4.0
## 245 12.9
## 246 8.3
## 247 10.5
## 248 5.3
## 249 3.9
## 250 7.4
## 251 7.1
## 252 2.6
## 253 3.1
## 254 4.6
## 255 9.3
## 256 9.3
## 257 5.1
## 258 18.5
## 259 17.0
## 260 14.4
## 261 2.7
## 262 3.3
## 263 5.8
## 264 6.8
## 265 5.2
## 266 5.4
## 267 4.8
## 268 5.4
## 269 6.2
## 270 6.0
## 271 5.4
## 272 5.7
## 273 5.8
## 274 3.6
## 275 10.8
## 276 6.7
## 277 7.9
## 278 5.2
## 279 4.0
## 280 6.2
## 281 7.9
## 282 2.6
## 283 3.2
## 284 4.2
## 285 9.1
## 286 8.4
## 287 5.2
## 288 16.5
## 289 14.9
## 290 13.1
## 291 2.5
## 292 3.4
## 293 5.3
## 294 6.3
## 295 4.6
## 296 5.4
## 297 4.7
## 298 5.2
## 299 5.6
## 300 5.6
## 301 5.7
## 302 5.8
## 303 5.2
## 304 3.4
## 305 11.5
## 306 7.5
## 307 3.9
## 308 5.7
## 309 4.1
## 310 7.9
## 311 8.0
## 312 3.1
## 313 3.7
## 314 4.6
## 315 10.5
## 316 8.3
## 317 4.4
## 318 17.9
## 319 16.1
## 320 14.2
## 321 2.3
## 322 3.7
## 323 5.7
## 324 6.8
## 325 5.0
## 326 5.9
## 327 5.3
## 328 5.4
## 329 6.1
## 330 5.8
## 331 5.7
## 332 6.0
## 333 5.5
## 334 3.3
## 335 12.7
## 336 6.3
## 337 6.1
## 338 5.6
## 339 4.3
## 340 7.5
## 341 7.3
## 342 3.5
## 343 4.0
## 344 4.6
## 345 10.4
## 346 7.4
## 347 5.0
## 348 18.2
## 349 16.7
## 350 14.5
## 351 2.3
## 352 3.6
## 353 5.6
## 354 6.7
## 355 4.9
## 356 6.2
## 357 4.6
## 358 6.3
## 359 5.8
## 360 5.9
## 361 5.6
## 362 5.9
## 363 5.8
## 364 3.7
## 365 10.8
## 366 6.5
## 367 13.1
## 368 5.4
## 369 4.1
## 370 7.4
## 371 7.6
## 372 3.1
## 373 3.7
## 374 4.6
## 375 10.1
## 376 6.7
## 377 5.2
## 378 18.5
## 379 16.7
## 380 14.4
## 381 2.3
## 382 3.8
## 383 5.5
## 384 6.3
## 385 4.8
## 386 5.9
## 387 4.9
## 388 5.5
## 389 6.2
## 390 5.3
## 391 5.6
## 392 6.0
## 393 5.6
## 394 3.2
## 395 12.8
## 396 7.0
## 397 7.0
## 398 5.4
## 399 4.2
## 400 7.2
## 401 7.2
## 402 3.2
## 403 3.8
## 404 4.5
## 405 10.4
## 406 6.9
## 407 4.7
## 408 18.0
## 409 16.8
## 410 14.5
## 411 2.1
## 412 3.6
## 413 5.3
## 414 5.9
## 415 4.8
## 416 7.3
## 417 5.2
## 418 5.8
## 419 6.0
## 420 4.9
## 421 5.0
## 422 4.9
## 423 4.2
## 424 2.5
## 425 9.4
## 426 8.2
## 427 9.7
## 428 5.1
## 429 3.7
## 430 7.2
## 431 7.3
## 432 3.2
## 433 4.2
## 434 4.3
## 435 7.9
## 436 6.4
## 437 4.3
## 438 16.9
## 439 15.8
## 440 13.6
## 441 2.1
## 442 3.2
## 443 4.9
## 444 5.3
## 445 4.2
## 446 6.1
## 447 4.7
## 448 5.2
## 449 5.4
## 450 4.7
## 451 4.9
## 452 4.8
## 453 5.0
## 454 2.5
## 455 10.5
## 456 5.1
## 457 NA
## 458 4.9
## 459 3.4
## 460 6.7
## 461 7.5
## 462 2.9
## 463 3.5
## 464 3.8
## 465 9.7
## 466 5.8
## 467 4.0
## 468 17.3
## 469 15.5
## 470 13.3
## 471 1.9
## 472 3.4
## 473 4.6
## 474 5.9
## 475 3.5
## 476 6.6
## 477 3.8
## 478 5.3
## 479 5.4
## 480 4.3
## 481 4.5
## 482 4.1
## 483 4.0
## 484 2.0
## 485 9.0
## 486 5.7
## 487 NA
## 488 4.7
## 489 3.3
## 490 7.0
## 491 6.5
## 492 3.1
## 493 3.7
## 494 3.6
## 495 8.5
## 496 5.5
## 497 3.6
## 498 16.3
## 499 14.9
## 500 12.6
## 501 1.8
## 502 3.5
## 503 4.4
## 504 5.4
## 505 3.6
## 506 5.4
## 507 3.3
## 508 4.8
## 509 5.1
## 510 4.2
## 511 4.3
## 512 4.0
## 513 3.8
## 514 1.7
## 515 9.4
## 516 5.3
## 517 NA
## 518 4.5
## 519 3.0
## 520 6.5
## 521 6.6
## 522 2.6
## 523 3.4
## 524 3.2
## 525 9.1
## 526 5.1
## 527 4.2
## 528 15.9
## 529 14.4
## 530 12.0
## 531 1.9
## 532 3.3
## 533 4.2
## 534 5.3
## 535 3.4
## 536 4.8
## 537 4.2
## 538 3.9
## 539 4.8
## 540 3.9
## 541 4.1
## 542 3.9
## 543 3.7
## 544 1.4
## 545 9.6
## 546 5.9
## 547 NA
## 548 4.2
## 549 2.7
## 550 6.4
## 551 6.3
## 552 2.6
## 553 3.5
## 554 3.3
## 555 7.6
## 556 4.9
## 557 4.0
## 558 15.5
## 559 14.1
## 560 11.2
## 561 1.7
## 562 3.6
## 563 4.0
## 564 4.9
## 565 3.1
## 566 4.6
## 567 3.8
## 568 4.2
## 569 4.5
## 570 3.6
## 571 3.9
## 572 3.8
## 573 3.3
## 574 1.9
## 575 8.2
## 576 5.5
## 577 NA
## 578 4.0
## 579 3.0
## 580 5.1
## 581 5.7
## 582 2.5
## 583 3.4
## 584 3.0
## 585 8.0
## 586 5.0
## 587 3.6
## 588 14.4
## 589 13.0
## 590 10.8
## 591 1.6
## 592 3.6
## 593 3.8
## 594 5.0
## 595 3.0
## 596 4.5
## 597 3.3
## 598 4.4
## 599 4.3
## 600 3.4
## 601 3.8
## 602 3.6
## 603 3.3
## 604 1.7
## 605 8.0
## 606 4.4
## 607 NA
## 608 4.0
## 609 2.6
## 610 6.0
## 611 5.9
## 612 2.8
## 613 4.5
## 614 2.6
## 615 7.9
## 616 5.5
## 617 4.3
## 618 13.8
## 619 12.6
## 620 10.2
## 621 1.8
## 622 3.3
## 623 3.8
## 624 4.6
## 625 3.2
## 626 4.1
## 627 3.2
## 628 3.7
## 629 4.3
## 630 3.6
## 631 5.1
## 632 5.5
## 633 5.4
## 634 2.5
## 635 12.6
## 636 7.0
## 637 NA
## 638 5.0
## 639 3.7
## 640 6.8
## 641 6.7
## 642 3.4
## 643 4.6
## 644 4.0
## 645 9.2
## 646 7.0
## 647 4.3
## 648 16.7
## 649 15.6
## 650 13.5
## 651 2.4
## 652 4.4
## 653 5.0
## 654 6.1
## 655 4.2
## 656 5.9
## 657 4.3
## 658 5.5
## 659 5.7
## 660 4.4library(dplyr)## Warning: package 'dplyr' was built under R version 4.2.3##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionfoodsecurity_row <- foodsecurity1<- foodsecurity1[-c(1:210), ]
foodsecurity_row## Year Category Subcategory
## 211 2008 All households
## 212 2008 Household composition With children < 18 years
## 213 2008 Household composition With children < 18 years
## 214 2008 Household composition With children < 18 years
## 215 2008 Household composition With children < 18 years
## 216 2008 Household composition With children < 18 years
## 217 2008 Household composition With children < 18 years
## 218 2008 Household composition With no children < 18 years
## 219 2008 Household composition With no children < 18 years
## 220 2008 Household composition With no children < 18 years
## 221 2008 Household composition With no children < 18 years
## 222 2008 Household composition With elderly
## 223 2008 Household composition With elderly
## 224 2008 Race/ethnicity of households White non-Hispanic
## 225 2008 Race/ethnicity of households Black non-Hispanic
## 226 2008 Race/ethnicity of households Hispanic
## 227 2008 Race/ethnicity of households Other
## 228 2008 Household income-to-poverty ratio Under 1.00
## 229 2008 Household income-to-poverty ratio Under 1.30
## 230 2008 Household income-to-poverty ratio Under 1.85
## 231 2008 Household income-to-poverty ratio 1.85 and over
## 232 2008 Household income-to-poverty ratio Income unknown
## 233 2008 Area of residence Inside metropolitan area
## 234 2008 Area of residence Inside metropolitan area
## 235 2008 Area of residence Inside metropolitan area
## 236 2008 Area of residence Outside metropolitan area
## 237 2008 Census geographic region Northeast
## 238 2008 Census geographic region Midwest
## 239 2008 Census geographic region South
## 240 2008 Census geographic region West
## 241 2009 All households
## 242 2009 Household composition With children < 18 years
## 243 2009 Household composition With children < 18 years
## 244 2009 Household composition With children < 18 years
## 245 2009 Household composition With children < 18 years
## 246 2009 Household composition With children < 18 years
## 247 2009 Household composition With children < 18 years
## 248 2009 Household composition With no children < 18 years
## 249 2009 Household composition With no children < 18 years
## 250 2009 Household composition With no children < 18 years
## 251 2009 Household composition With no children < 18 years
## 252 2009 Household composition With elderly
## 253 2009 Household composition With elderly
## 254 2009 Race/ethnicity of households White non-Hispanic
## 255 2009 Race/ethnicity of households Black non-Hispanic
## 256 2009 Race/ethnicity of households Hispanic
## 257 2009 Race/ethnicity of households Other
## 258 2009 Household income-to-poverty ratio Under 1.00
## 259 2009 Household income-to-poverty ratio Under 1.30
## 260 2009 Household income-to-poverty ratio Under 1.85
## 261 2009 Household income-to-poverty ratio 1.85 and over
## 262 2009 Household income-to-poverty ratio Income unknown
## 263 2009 Area of residence Inside metropolitan area
## 264 2009 Area of residence Inside metropolitan area
## 265 2009 Area of residence Inside metropolitan area
## 266 2009 Area of residence Outside metropolitan area
## 267 2009 Census geographic region Northeast
## 268 2009 Census geographic region Midwest
## 269 2009 Census geographic region South
## 270 2009 Census geographic region West
## 271 2010 All households
## 272 2010 Household composition With children < 18 years
## 273 2010 Household composition With children < 18 years
## 274 2010 Household composition With children < 18 years
## 275 2010 Household composition With children < 18 years
## 276 2010 Household composition With children < 18 years
## 277 2010 Household composition With children < 18 years
## 278 2010 Household composition With no children < 18 years
## 279 2010 Household composition With no children < 18 years
## 280 2010 Household composition With no children < 18 years
## 281 2010 Household composition With no children < 18 years
## 282 2010 Household composition With elderly
## 283 2010 Household composition With elderly
## 284 2010 Race/ethnicity of households White non-Hispanic
## 285 2010 Race/ethnicity of households Black non-Hispanic
## 286 2010 Race/ethnicity of households Hispanic
## 287 2010 Race/ethnicity of households Other
## 288 2010 Household income-to-poverty ratio Under 1.00
## 289 2010 Household income-to-poverty ratio Under 1.30
## 290 2010 Household income-to-poverty ratio Under 1.85
## 291 2010 Household income-to-poverty ratio 1.85 and over
## 292 2010 Household income-to-poverty ratio Income unknown
## 293 2010 Area of residence Inside metropolitan area
## 294 2010 Area of residence Inside metropolitan area
## 295 2010 Area of residence Inside metropolitan area
## 296 2010 Area of residence Outside metropolitan area
## 297 2010 Census geographic region Northeast
## 298 2010 Census geographic region Midwest
## 299 2010 Census geographic region South
## 300 2010 Census geographic region West
## 301 2011 All households
## 302 2011 Household composition With children < 18 years
## 303 2011 Household composition With children < 18 years
## 304 2011 Household composition With children < 18 years
## 305 2011 Household composition With children < 18 years
## 306 2011 Household composition With children < 18 years
## 307 2011 Household composition With children < 18 years
## 308 2011 Household composition With no children < 18 years
## 309 2011 Household composition With no children < 18 years
## 310 2011 Household composition With no children < 18 years
## 311 2011 Household composition With no children < 18 years
## 312 2011 Household composition With elderly
## 313 2011 Household composition With elderly
## 314 2011 Race/ethnicity of households White non-Hispanic
## 315 2011 Race/ethnicity of households Black non-Hispanic
## 316 2011 Race/ethnicity of households Hispanic
## 317 2011 Race/ethnicity of households Other
## 318 2011 Household income-to-poverty ratio Under 1.00
## 319 2011 Household income-to-poverty ratio Under 1.30
## 320 2011 Household income-to-poverty ratio Under 1.85
## 321 2011 Household income-to-poverty ratio 1.85 and over
## 322 2011 Household income-to-poverty ratio Income unknown
## 323 2011 Area of residence Inside metropolitan area
## 324 2011 Area of residence Inside metropolitan area
## 325 2011 Area of residence Inside metropolitan area
## 326 2011 Area of residence Outside metropolitan area
## 327 2011 Census geographic region Northeast
## 328 2011 Census geographic region Midwest
## 329 2011 Census geographic region South
## 330 2011 Census geographic region West
## 331 2012 All households
## 332 2012 Household composition With children < 18 years
## 333 2012 Household composition With children < 18 years
## 334 2012 Household composition With children < 18 years
## 335 2012 Household composition With children < 18 years
## 336 2012 Household composition With children < 18 years
## 337 2012 Household composition With children < 18 years
## 338 2012 Household composition With no children < 18 years
## 339 2012 Household composition With no children < 18 years
## 340 2012 Household composition With no children < 18 years
## 341 2012 Household composition With no children < 18 years
## 342 2012 Household composition With elderly
## 343 2012 Household composition With elderly
## 344 2012 Race/ethnicity of households White non-Hispanic
## 345 2012 Race/ethnicity of households Black non-Hispanic
## 346 2012 Race/ethnicity of households Hispanic
## 347 2012 Race/ethnicity of households Other
## 348 2012 Household income-to-poverty ratio Under 1.00
## 349 2012 Household income-to-poverty ratio Under 1.30
## 350 2012 Household income-to-poverty ratio Under 1.85
## 351 2012 Household income-to-poverty ratio 1.85 and over
## 352 2012 Household income-to-poverty ratio Income unknown
## 353 2012 Area of residence Inside metropolitan area
## 354 2012 Area of residence Inside metropolitan area
## 355 2012 Area of residence Inside metropolitan area
## 356 2012 Area of residence Outside metropolitan area
## 357 2012 Census geographic region Northeast
## 358 2012 Census geographic region Midwest
## 359 2012 Census geographic region South
## 360 2012 Census geographic region West
## 361 2013 All households
## 362 2013 Household composition With children < 18 years
## 363 2013 Household composition With children < 18 years
## 364 2013 Household composition With children < 18 years
## 365 2013 Household composition With children < 18 years
## 366 2013 Household composition With children < 18 years
## 367 2013 Household composition With children < 18 years
## 368 2013 Household composition With no children < 18 years
## 369 2013 Household composition With no children < 18 years
## 370 2013 Household composition With no children < 18 years
## 371 2013 Household composition With no children < 18 years
## 372 2013 Household composition With elderly
## 373 2013 Household composition With elderly
## 374 2013 Race/ethnicity of households White non-Hispanic
## 375 2013 Race/ethnicity of households Black non-Hispanic
## 376 2013 Race/ethnicity of households Hispanic
## 377 2013 Race/ethnicity of households Other
## 378 2013 Household income-to-poverty ratio Under 1.00
## 379 2013 Household income-to-poverty ratio Under 1.30
## 380 2013 Household income-to-poverty ratio Under 1.85
## 381 2013 Household income-to-poverty ratio 1.85 and over
## 382 2013 Household income-to-poverty ratio Income unknown
## 383 2013 Area of residence Inside metropolitan area
## 384 2013 Area of residence Inside metropolitan area
## 385 2013 Area of residence Inside metropolitan area
## 386 2013 Area of residence Outside metropolitan area
## 387 2013 Census geographic region Northeast
## 388 2013 Census geographic region Midwest
## 389 2013 Census geographic region South
## 390 2013 Census geographic region West
## 391 2014 All households
## 392 2014 Household composition With children < 18 years
## 393 2014 Household composition With children < 18 years
## 394 2014 Household composition With children < 18 years
## 395 2014 Household composition With children < 18 years
## 396 2014 Household composition With children < 18 years
## 397 2014 Household composition With children < 18 years
## 398 2014 Household composition With no children < 18 years
## 399 2014 Household composition With no children < 18 years
## 400 2014 Household composition With no children < 18 years
## 401 2014 Household composition With no children < 18 years
## 402 2014 Household composition With elderly
## 403 2014 Household composition With elderly
## 404 2014 Race/ethnicity of households White non-Hispanic
## 405 2014 Race/ethnicity of households Black non-Hispanic
## 406 2014 Race/ethnicity of households Hispanic
## 407 2014 Race/ethnicity of households Other
## 408 2014 Household income-to-poverty ratio Under 1.00
## 409 2014 Household income-to-poverty ratio Under 1.30
## 410 2014 Household income-to-poverty ratio Under 1.85
## 411 2014 Household income-to-poverty ratio 1.85 and over
## 412 2014 Household income-to-poverty ratio Income unknown
## 413 2014 Area of residence Inside metropolitan area
## 414 2014 Area of residence Inside metropolitan area
## 415 2014 Area of residence Inside metropolitan area
## 416 2014 Area of residence Outside metropolitan area
## 417 2014 Census geographic region Northeast
## 418 2014 Census geographic region Midwest
## 419 2014 Census geographic region South
## 420 2014 Census geographic region West
## 421 2015 All households
## 422 2015 Household composition With children < 18 years
## 423 2015 Household composition With children < 18 years
## 424 2015 Household composition With children < 18 years
## 425 2015 Household composition With children < 18 years
## 426 2015 Household composition With children < 18 years
## 427 2015 Household composition With children < 18 years
## 428 2015 Household composition With no children < 18 years
## 429 2015 Household composition With no children < 18 years
## 430 2015 Household composition With no children < 18 years
## 431 2015 Household composition With no children < 18 years
## 432 2015 Household composition With elderly
## 433 2015 Household composition With elderly
## 434 2015 Race/ethnicity of households White non-Hispanic
## 435 2015 Race/ethnicity of households Black non-Hispanic
## 436 2015 Race/ethnicity of households Hispanic
## 437 2015 Race/ethnicity of households Other
## 438 2015 Household income-to-poverty ratio Under 1.00
## 439 2015 Household income-to-poverty ratio Under 1.30
## 440 2015 Household income-to-poverty ratio Under 1.85
## 441 2015 Household income-to-poverty ratio 1.85 and over
## 442 2015 Household income-to-poverty ratio Income unknown
## 443 2015 Area of residence Inside metropolitan area
## 444 2015 Area of residence Inside metropolitan area
## 445 2015 Area of residence Inside metropolitan area
## 446 2015 Area of residence Outside metropolitan area
## 447 2015 Census geographic region Northeast
## 448 2015 Census geographic region Midwest
## 449 2015 Census geographic region South
## 450 2015 Census geographic region West
## 451 2016 All households
## 452 2016 Household composition With children < 18 years
## 453 2016 Household composition With children < 18 years
## 454 2016 Household composition With children < 18 years
## 455 2016 Household composition With children < 18 years
## 456 2016 Household composition With children < 18 years
## 457 2016 Household composition With children < 18 years
## 458 2016 Household composition With no children < 18 years
## 459 2016 Household composition With no children < 18 years
## 460 2016 Household composition With no children < 18 years
## 461 2016 Household composition With no children < 18 years
## 462 2016 Household composition With elderly
## 463 2016 Household composition With elderly
## 464 2016 Race/ethnicity of households White non-Hispanic
## 465 2016 Race/ethnicity of households Black non-Hispanic
## 466 2016 Race/ethnicity of households Hispanic
## 467 2016 Race/ethnicity of households Other
## 468 2016 Household income-to-poverty ratio Under 1.00
## 469 2016 Household income-to-poverty ratio Under 1.30
## 470 2016 Household income-to-poverty ratio Under 1.85
## 471 2016 Household income-to-poverty ratio 1.85 and over
## 472 2016 Household income-to-poverty ratio Income unknown
## 473 2016 Area of residence Inside metropolitan area
## 474 2016 Area of residence Inside metropolitan area
## 475 2016 Area of residence Inside metropolitan area
## 476 2016 Area of residence Outside metropolitan area
## 477 2016 Census geographic region Northeast
## 478 2016 Census geographic region Midwest
## 479 2016 Census geographic region South
## 480 2016 Census geographic region West
## 481 2017 All households
## 482 2017 Household composition With children < 18 years
## 483 2017 Household composition With children < 18 years
## 484 2017 Household composition With children < 18 years
## 485 2017 Household composition With children < 18 years
## 486 2017 Household composition With children < 18 years
## 487 2017 Household composition With children < 18 years
## 488 2017 Household composition With no children < 18 years
## 489 2017 Household composition With no children < 18 years
## 490 2017 Household composition With no children < 18 years
## 491 2017 Household composition With no children < 18 years
## 492 2017 Household composition With elderly
## 493 2017 Household composition With elderly
## 494 2017 Race/ethnicity of households White non-Hispanic
## 495 2017 Race/ethnicity of households Black non-Hispanic
## 496 2017 Race/ethnicity of households Hispanic
## 497 2017 Race/ethnicity of households Other
## 498 2017 Household income-to-poverty ratio Under 1.00
## 499 2017 Household income-to-poverty ratio Under 1.30
## 500 2017 Household income-to-poverty ratio Under 1.85
## 501 2017 Household income-to-poverty ratio 1.85 and over
## 502 2017 Household income-to-poverty ratio Income unknown
## 503 2017 Area of residence Inside metropolitan area
## 504 2017 Area of residence Inside metropolitan area
## 505 2017 Area of residence Inside metropolitan area
## 506 2017 Area of residence Outside metropolitan area
## 507 2017 Census geographic region Northeast
## 508 2017 Census geographic region Midwest
## 509 2017 Census geographic region South
## 510 2017 Census geographic region West
## 511 2018 All households
## 512 2018 Household composition With children < 18 years
## 513 2018 Household composition With children < 18 years
## 514 2018 Household composition With children < 18 years
## 515 2018 Household composition With children < 18 years
## 516 2018 Household composition With children < 18 years
## 517 2018 Household composition With children < 18 years
## 518 2018 Household composition With no children < 18 years
## 519 2018 Household composition With no children < 18 years
## 520 2018 Household composition With no children < 18 years
## 521 2018 Household composition With no children < 18 years
## 522 2018 Household composition With elderly
## 523 2018 Household composition With elderly
## 524 2018 Race/ethnicity of households White non-Hispanic
## 525 2018 Race/ethnicity of households Black non-Hispanic
## 526 2018 Race/ethnicity of households Hispanic
## 527 2018 Race/ethnicity of households Other
## 528 2018 Household income-to-poverty ratio Under 1.00
## 529 2018 Household income-to-poverty ratio Under 1.30
## 530 2018 Household income-to-poverty ratio Under 1.85
## 531 2018 Household income-to-poverty ratio 1.85 and over
## 532 2018 Household income-to-poverty ratio Income unknown
## 533 2018 Area of residence Inside metropolitan area
## 534 2018 Area of residence Inside metropolitan area
## 535 2018 Area of residence Inside metropolitan area
## 536 2018 Area of residence Outside metropolitan area
## 537 2018 Census geographic region Northeast
## 538 2018 Census geographic region Midwest
## 539 2018 Census geographic region South
## 540 2018 Census geographic region West
## 541 2019 All households
## 542 2019 Household composition With children < 18 years
## 543 2019 Household composition With children < 18 years
## 544 2019 Household composition With children < 18 years
## 545 2019 Household composition With children < 18 years
## 546 2019 Household composition With children < 18 years
## 547 2019 Household composition With children < 18 years
## 548 2019 Household composition With no children < 18 years
## 549 2019 Household composition With no children < 18 years
## 550 2019 Household composition With no children < 18 years
## 551 2019 Household composition With no children < 18 years
## 552 2019 Household composition With elderly
## 553 2019 Household composition With elderly
## 554 2019 Race/ethnicity of households White non-Hispanic
## 555 2019 Race/ethnicity of households Black non-Hispanic
## 556 2019 Race/ethnicity of households Hispanic
## 557 2019 Race/ethnicity of households Other
## 558 2019 Household income-to-poverty ratio Under 1.00
## 559 2019 Household income-to-poverty ratio Under 1.30
## 560 2019 Household income-to-poverty ratio Under 1.85
## 561 2019 Household income-to-poverty ratio 1.85 and over
## 562 2019 Household income-to-poverty ratio Income unknown
## 563 2019 Area of residence Inside metropolitan area
## 564 2019 Area of residence Inside metropolitan area
## 565 2019 Area of residence Inside metropolitan area
## 566 2019 Area of residence Outside metropolitan area
## 567 2019 Census geographic region Northeast
## 568 2019 Census geographic region Midwest
## 569 2019 Census geographic region South
## 570 2019 Census geographic region West
## 571 2020 All households
## 572 2020 Household composition With children < 18 years
## 573 2020 Household composition With children < 18 years
## 574 2020 Household composition With children < 18 years
## 575 2020 Household composition With children < 18 years
## 576 2020 Household composition With children < 18 years
## 577 2020 Household composition With children < 18 years
## 578 2020 Household composition With no children < 18 years
## 579 2020 Household composition With no children < 18 years
## 580 2020 Household composition With no children < 18 years
## 581 2020 Household composition With no children < 18 years
## 582 2020 Household composition With elderly
## 583 2020 Household composition With elderly
## 584 2020 Race/ethnicity of households White non-Hispanic
## 585 2020 Race/ethnicity of households Black non-Hispanic
## 586 2020 Race/ethnicity of households Hispanic
## 587 2020 Race/ethnicity of households Other
## 588 2020 Household income-to-poverty ratio Under 1.00
## 589 2020 Household income-to-poverty ratio Under 1.30
## 590 2020 Household income-to-poverty ratio Under 1.85
## 591 2020 Household income-to-poverty ratio 1.85 and over
## 592 2020 Household income-to-poverty ratio Income unknown
## 593 2020 Area of residence Inside metropolitan area
## 594 2020 Area of residence Inside metropolitan area
## 595 2020 Area of residence Inside metropolitan area
## 596 2020 Area of residence Outside metropolitan area
## 597 2020 Census geographic region Northeast
## 598 2020 Census geographic region Midwest
## 599 2020 Census geographic region South
## 600 2020 Census geographic region West
## 601 2021 All households
## 602 2021 Household composition With children < 18 years
## 603 2021 Household composition With children < 18 years
## 604 2021 Household composition With children < 18 years
## 605 2021 Household composition With children < 18 years
## 606 2021 Household composition With children < 18 years
## 607 2021 Household composition With children < 18 years
## 608 2021 Household composition With no children < 18 years
## 609 2021 Household composition With no children < 18 years
## 610 2021 Household composition With no children < 18 years
## 611 2021 Household composition With no children < 18 years
## 612 2021 Household composition With elderly
## 613 2021 Household composition With elderly
## 614 2021 Race/ethnicity of households White non-Hispanic
## 615 2021 Race/ethnicity of households Black non-Hispanic
## 616 2021 Race/ethnicity of households Hispanic
## 617 2021 Race/ethnicity of households Other
## 618 2021 Household income-to-poverty ratio Under 1.00
## 619 2021 Household income-to-poverty ratio Under 1.30
## 620 2021 Household income-to-poverty ratio Under 1.85
## 621 2021 Household income-to-poverty ratio 1.85 and over
## 622 2021 Household income-to-poverty ratio Income unknown
## 623 2021 Area of residence Inside metropolitan area
## 624 2021 Area of residence Inside metropolitan area
## 625 2021 Area of residence Inside metropolitan area
## 626 2021 Area of residence Outside metropolitan area
## 627 2021 Census geographic region Northeast
## 628 2021 Census geographic region Midwest
## 629 2021 Census geographic region South
## 630 2021 Census geographic region West
## 631 2022 All households
## 632 2022 Household composition With children < 18 years
## 633 2022 Household composition With children < 18 years
## 634 2022 Household composition With children < 18 years
## 635 2022 Household composition With children < 18 years
## 636 2022 Household composition With children < 18 years
## 637 2022 Household composition With children < 18 years
## 638 2022 Household composition With no children < 18 years
## 639 2022 Household composition With no children < 18 years
## 640 2022 Household composition With no children < 18 years
## 641 2022 Household composition With no children < 18 years
## 642 2022 Household composition With elderly
## 643 2022 Household composition With elderly
## 644 2022 Race/ethnicity of households White non-Hispanic
## 645 2022 Race/ethnicity of households Black non-Hispanic
## 646 2022 Race/ethnicity of households Hispanic
## 647 2022 Race/ethnicity of households Other
## 648 2022 Household income-to-poverty ratio Under 1.00
## 649 2022 Household income-to-poverty ratio Under 1.30
## 650 2022 Household income-to-poverty ratio Under 1.85
## 651 2022 Household income-to-poverty ratio 1.85 and over
## 652 2022 Household income-to-poverty ratio Income unknown
## 653 2022 Area of residence Inside metropolitan area
## 654 2022 Area of residence Inside metropolitan area
## 655 2022 Area of residence Inside metropolitan area
## 656 2022 Area of residence Outside metropolitan area
## 657 2022 Census geographic region Northeast
## 658 2022 Census geographic region Midwest
## 659 2022 Census geographic region South
## 660 2022 Census geographic region West
## Sub.subcategory Total Food.secure.1.000 Food.secure.percent
## 211 117565 100416 85.4
## 212 39699 31364 79.0
## 213 With children < 6 years 17503 13595 77.7
## 214 Married-couple families 26705 22887 85.7
## 215 Female head, no spouse 9639 6057 62.8
## 216 Male head, no spouse 2782 2013 72.4
## 217 Other household with child 572 405 70.8
## 218 77866 69052 88.7
## 219 More than one adult 45772 41610 90.9
## 220 Women living alone 17934 15266 85.1
## 221 Men living alone 14160 12177 86.0
## 222 28211 25927 91.9
## 223 Elderly living alone 11148 10168 91.2
## 224 82935 74041 89.3
## 225 14441 10732 74.3
## 226 13504 9873 73.1
## 227 6686 5772 86.3
## 228 13117 7576 57.8
## 229 20383 12427 61.0
## 230 29680 19622 66.1
## 231 70433 65038 92.3
## 232 17452 15755 90.3
## 233 98189 83790 85.3
## 234 In principal cities 32808 27006 82.3
## 235 Not in principal cities 48239 42125 87.3
## 236 19375 16625 85.8
## 237 21341 18616 87.2
## 238 26370 22671 86.0
## 239 43542 36621 84.1
## 240 26311 22507 85.5
## 241 118174 100820 85.3
## 242 39525 31114 78.7
## 243 With children < 6 years 17598 13566 77.1
## 244 Married-couple families 26334 22475 85.3
## 245 Female head, no spouse 9700 6146 63.4
## 246 Male head, no spouse 2883 2082 72.2
## 247 Other household with child 607 410 67.5
## 248 78649 69706 88.6
## 249 More than one adult 46677 42404 90.8
## 250 Women living alone 17662 15064 85.3
## 251 Men living alone 14310 12238 85.5
## 252 28912 26743 92.5
## 253 Elderly living alone 11300 10416 92.2
## 254 83259 74066 89.0
## 255 14519 10908 75.1
## 256 13566 9922 73.1
## 257 6830 5926 86.8
## 258 13193 7525 57.0
## 259 19913 12000 60.3
## 260 29454 19194 65.2
## 261 63983 59125 92.4
## 262 24738 22503 91.0
## 263 98336 83803 85.2
## 264 In principal cities 32690 27059 82.8
## 265 Not in principal cities 48698 42261 86.8
## 266 19838 17017 85.8
## 267 21403 18787 87.8
## 268 26512 22836 86.1
## 269 43842 36885 84.1
## 270 26417 22312 84.5
## 271 118756 101527 85.5
## 272 39419 31447 79.8
## 273 With children < 6 years 17780 13899 78.2
## 274 Married-couple families 25729 22179 86.2
## 275 Female head, no spouse 10081 6547 64.9
## 276 Male head, no spouse 2980 2223 74.6
## 277 Other household with child 629 498 79.2
## 278 79337 70080 88.3
## 279 More than one adult 47112 42468 90.1
## 280 Women living alone 17644 15218 86.3
## 281 Men living alone 14582 12394 85.0
## 282 29438 27102 92.1
## 283 Elderly living alone 11565 10640 92.0
## 284 83113 74117 89.2
## 285 14600 10941 74.9
## 286 14109 10416 73.8
## 287 6933 6052 87.3
## 288 15133 9056 59.8
## 289 20907 13039 62.4
## 290 30101 19940 66.2
## 291 62335 57710 92.6
## 292 26319 23876 90.7
## 293 98657 84379 85.5
## 294 In principal cities 32732 27171 83.0
## 295 Not in principal cities 49000 42831 87.4
## 296 20099 17147 85.3
## 297 21731 19036 87.6
## 298 26589 23062 86.7
## 299 44270 37203 84.0
## 300 26166 22226 84.9
## 301 119484 101631 85.1
## 302 38803 30814 79.4
## 303 With children < 6 years 17281 13494 78.1
## 304 Married-couple families 25421 21879 86.1
## 305 Female head, no spouse 9690 6124 63.2
## 306 Male head, no spouse 3055 2295 75.1
## 307 Other household with child 638 517 81.0
## 308 80681 70817 87.8
## 309 More than one adult 47863 43103 90.1
## 310 Women living alone 18021 15205 84.4
## 311 Men living alone 14796 12508 84.5
## 312 30099 27579 91.6
## 313 Elderly living alone 11402 10400 91.2
## 314 83304 73823 88.6
## 315 14765 11066 74.9
## 316 14410 10629 73.8
## 317 7005 6113 87.3
## 318 15557 9164 58.9
## 319 22168 13825 62.4
## 320 31437 20593 65.5
## 321 62244 57888 93.0
## 322 25802 23149 89.7
## 323 99835 84999 85.1
## 324 In principal cities 33515 27597 82.3
## 325 Not in principal cities 49253 42770 86.8
## 326 19649 16632 84.6
## 327 21650 18736 86.5
## 328 26359 22798 86.5
## 329 44772 37618 84.0
## 330 26703 22478 84.2
## 331 121546 103914 85.5
## 332 39201 31354 80.0
## 333 With children < 6 years 17325 13770 79.5
## 334 Married-couple families 25233 21907 86.8
## 335 Female head, no spouse 10373 6705 64.6
## 336 Male head, no spouse 3008 2299 76.4
## 337 Other household with child 587 443 75.5
## 338 82345 72560 88.1
## 339 More than one adult 49577 44726 90.2
## 340 Women living alone 17903 15162 84.7
## 341 Men living alone 14865 12673 85.3
## 342 31932 29122 91.2
## 343 Elderly living alone 11706 10643 90.9
## 344 83217 73914 88.8
## 345 14976 11287 75.4
## 346 15613 11982 76.7
## 347 7740 6730 87.0
## 348 15547 9196 59.1
## 349 21797 13472 61.8
## 350 31259 20534 65.7
## 351 64274 59882 93.2
## 352 26013 23497 90.3
## 353 101476 86961 85.7
## 354 In principal cities 33959 28214 83.1
## 355 Not in principal cities 50358 43957 87.3
## 356 20070 16953 84.5
## 357 21693 19102 88.1
## 358 27051 23222 85.8
## 359 45731 38404 84.0
## 360 27071 23186 85.6
## 361 122579 105070 85.7
## 362 38486 30979 80.5
## 363 With children < 6 years 16942 13405 79.1
## 364 Married-couple families 24896 21700 87.2
## 365 Female head, no spouse 10025 6577 65.6
## 366 Male head, no spouse 3025 2327 76.9
## 367 Other household with child 540 374 69.3
## 368 84093 74092 88.1
## 369 More than one adult 50145 45201 90.1
## 370 Women living alone 18686 15853 84.8
## 371 Men living alone 15263 13038 85.4
## 372 33244 30354 91.3
## 373 Elderly living alone 12341 11232 91.0
## 374 83496 74636 89.4
## 375 15311 11322 73.9
## 376 15648 11939 76.3
## 377 8124 7175 88.3
## 378 14819 8583 57.9
## 379 20715 12657 61.1
## 380 29809 19429 65.2
## 381 62985 58774 93.3
## 382 29786 26869 90.2
## 383 102936 88384 85.9
## 384 In principal cities 34425 28667 83.3
## 385 Not in principal cities 51077 44904 87.9
## 386 19643 16686 84.9
## 387 21894 19190 87.6
## 388 27097 23420 86.4
## 389 46256 38974 84.3
## 390 27331 23486 85.9
## 391 124044 106618 86.0
## 392 39079 31590 80.8
## 393 With children < 6 years 17211 13786 80.1
## 394 Married-couple families 25376 22226 87.6
## 395 Female head, no spouse 9912 6411 64.7
## 396 Male head, no spouse 3237 2533 78.3
## 397 Other household with child 554 419 75.6
## 398 84965 75029 88.3
## 399 More than one adult 50621 45731 90.3
## 400 Women living alone 19062 16149 84.7
## 401 Men living alone 15283 13150 86.0
## 402 34269 31230 91.1
## 403 Elderly living alone 12792 11608 90.7
## 404 84127 75335 89.5
## 405 15424 11393 73.9
## 406 16148 12527 77.6
## 407 8346 7365 88.2
## 408 15812 9560 60.5
## 409 20783 13009 62.6
## 410 31376 20790 66.3
## 411 64200 60153 93.7
## 412 28468 25676 90.2
## 413 104931 90781 86.5
## 414 In principal cities 35672 30085 84.3
## 415 Not in principal cities 51892 45779 88.2
## 416 19114 15839 82.9
## 417 22156 19209 86.7
## 418 27260 23489 86.2
## 419 46869 39803 84.9
## 420 27760 24119 86.9
## 421 125164 109315 87.3
## 422 38978 32519 83.4
## 423 With children < 6 years 16995 14129 83.1
## 424 Married-couple families 25232 22670 89.8
## 425 Female head, no spouse 10117 7052 69.7
## 426 Male head, no spouse 3133 2432 77.6
## 427 Other household with child 496 366 73.8
## 428 86187 76796 89.1
## 429 More than one adult 51357 46976 91.5
## 430 Women living alone 18954 16169 85.3
## 431 Men living alone 15876 13652 86.0
## 432 35265 32340 91.7
## 433 Elderly living alone 13137 11932 90.8
## 434 83931 75563 90.0
## 435 15734 12357 78.5
## 436 16803 13592 80.9
## 437 8695 7803 89.7
## 438 14070 8687 61.7
## 439 18917 11954 63.2
## 440 28994 19479 67.2
## 441 65319 61552 94.2
## 442 30851 28282 91.7
## 443 106990 93947 87.8
## 444 In principal cities 36809 31606 85.9
## 445 Not in principal cities 53585 48023 89.6
## 446 18175 15369 84.6
## 447 22300 19640 88.1
## 448 27199 23727 87.2
## 449 47389 41101 86.7
## 450 28277 24848 87.9
## 451 126401 110850 87.7
## 452 38400 32059 83.5
## 453 With children < 6 years 16571 13820 83.4
## 454 Married-couple families 25031 22560 90.1
## 455 Female head, no spouse 9780 6692 68.4
## 456 Male head, no spouse 3070 2403 78.3
## 457 Other household with child 519 404 77.8
## 458 88001 78792 89.5
## 459 More than one adult 52353 48162 92.0
## 460 Women living alone 19649 16910 86.1
## 461 Men living alone 15999 13719 85.7
## 462 36335 33496 92.2
## 463 Elderly living alone 13529 12326 91.1
## 464 84087 76271 90.7
## 465 15940 12346 77.5
## 466 17054 13907 81.5
## 467 9319 8325 89.3
## 468 13929 8598 61.7
## 469 18522 11917 64.3
## 470 29025 19860 68.4
## 471 67785 64001 94.4
## 472 29590 26988 91.2
## 473 108118 95315 88.2
## 474 In principal cities 37176 31879 85.8
## 475 Not in principal cities 54399 49222 90.5
## 476 18283 15535 85.0
## 477 22669 20217 89.2
## 478 27307 23976 87.8
## 479 47966 41476 86.5
## 480 28458 25180 88.5
## 481 127272 112254 88.2
## 482 37942 31976 84.3
## 483 With children < 6 years 16200 13551 83.6
## 484 Married-couple families 24744 22383 90.5
## 485 Female head, no spouse 9561 6663 69.7
## 486 Male head, no spouse 3057 2455 80.3
## 487 Other household with child 581 476 81.9
## 488 89330 80278 89.9
## 489 More than one adult 53107 48997 92.3
## 490 Women living alone 19963 17195 86.1
## 491 Men living alone 16260 14087 86.6
## 492 37805 34814 92.1
## 493 Elderly living alone 14312 13078 91.4
## 494 84548 77083 91.2
## 495 16358 12799 78.2
## 496 17197 14108 82.0
## 497 9169 8263 90.1
## 498 12871 8135 63.2
## 499 17271 11318 65.5
## 500 27012 18699 69.2
## 501 69442 65405 94.2
## 502 30818 28150 91.3
## 503 108977 96401 88.5
## 504 In principal cities 37365 32199 86.2
## 505 Not in principal cities 55330 50152 90.6
## 506 18295 15853 86.7
## 507 22520 20280 90.1
## 508 27581 24346 88.3
## 509 48281 41817 86.6
## 510 28890 25811 89.3
## 511 129245 114934 88.9
## 512 37612 32369 86.1
## 513 With children < 6 years 16306 13967 85.7
## 514 Married-couple families 24598 22558 91.7
## 515 Female head, no spouse 9349 6753 72.2
## 516 Male head, no spouse 3238 2722 84.1
## 517 Other household with child 427 337 78.9
## 518 91633 82565 90.1
## 519 More than one adult 54274 50222 92.5
## 520 Women living alone 20225 17352 85.8
## 521 Men living alone 17134 14991 87.5
## 522 39125 36191 92.5
## 523 Elderly living alone 14988 13652 91.1
## 524 84975 78106 91.9
## 525 16613 13087 78.8
## 526 18101 15164 83.8
## 527 9556 8577 89.8
## 528 12140 7855 64.7
## 529 17061 11419 66.9
## 530 26836 19033 70.9
## 531 70795 66964 94.6
## 532 31614 28937 91.5
## 533 111051 99053 89.2
## 534 In principal cities 37881 32877 86.8
## 535 Not in principal cities 55847 50855 91.1
## 536 18194 15882 87.3
## 537 22517 20227 89.8
## 538 27791 24781 89.2
## 539 49814 43829 88.0
## 540 29123 26098 89.6
## 541 129621 115959 89.5
## 542 37614 32480 86.4
## 543 With children < 6 years 16115 13783 85.5
## 544 Married-couple families 24382 22543 92.5
## 545 Female head, no spouse 9349 6663 71.3
## 546 Male head, no spouse 3311 2802 84.6
## 547 Other household with child 572 472 82.5
## 548 92007 83479 90.7
## 549 More than one adult 54420 50762 93.3
## 550 Women living alone 20886 18161 87.0
## 551 Men living alone 16701 14556 87.2
## 552 40220 37318 92.8
## 553 Elderly living alone 15329 13996 91.3
## 554 85196 78438 92.1
## 555 16504 13356 80.9
## 556 18035 15216 84.4
## 557 9886 8949 90.5
## 558 11208 7301 65.1
## 559 15848 10615 67.0
## 560 26604 19248 72.4
## 561 70457 66880 94.9
## 562 32560 29832 91.6
## 563 111547 100071 89.7
## 564 In principal cities 38411 33662 87.6
## 565 Not in principal cities 55517 50923 91.7
## 566 18073 15887 87.9
## 567 22293 20154 90.4
## 568 27894 24956 89.5
## 569 50136 44527 88.8
## 570 29298 26322 89.8
## 571 130459 116705 89.5
## 572 37903 32280 85.2
## 573 With children < 6 years 16119 13655 84.7
## 574 Married-couple families 24420 22091 90.5
## 575 Female head, no spouse 9774 7070 72.3
## 576 Male head, no spouse 3296 2758 83.7
## 577 Other household with child 413 362 87.7
## 578 92556 84425 91.2
## 579 More than one adult 54662 50775 92.9
## 580 Women living alone 20881 18579 89.0
## 581 Men living alone 17013 15072 88.6
## 582 41050 38218 93.1
## 583 Elderly living alone 15566 14280 91.7
## 584 85466 79387 92.9
## 585 16686 13058 78.3
## 586 18543 15359 82.8
## 587 9764 8903 91.2
## 588 10514 6800 64.7
## 589 16474 11021 66.9
## 590 25649 18305 71.4
## 591 70710 67263 95.1
## 592 34100 31138 91.3
## 593 112150 100523 89.6
## 594 In principal cities 38788 33875 87.3
## 595 Not in principal cities 56007 51059 91.2
## 596 18308 16181 88.4
## 597 22247 20177 90.7
## 598 27757 25114 90.5
## 599 50770 44536 87.7
## 600 29685 26878 90.5
## 601 132043 118533 89.8
## 602 36765 32170 87.5
## 603 With children < 6 years 15406 13418 87.1
## 604 Married-couple families 23849 22088 92.6
## 605 Female head, no spouse 9197 6965 75.7
## 606 Male head, no spouse 3194 2678 83.8
## 607 Other household with child 524 438 83.6
## 608 95278 86364 90.6
## 609 More than one adult 56113 52215 93.1
## 610 Women living alone 21641 18781 86.8
## 611 Men living alone 17524 15367 87.7
## 612 42501 39473 92.9
## 613 Elderly living alone 16056 14530 90.5
## 614 85866 79843 93.0
## 615 16951 13597 80.2
## 616 19082 15983 83.8
## 617 10144 9112 89.8
## 618 11920 8092 67.9
## 619 16994 11722 69.0
## 620 26506 19470 73.5
## 621 71721 68135 95.0
## 622 33816 30929 91.5
## 623 113842 102295 89.9
## 624 In principal cities 38360 33684 87.8
## 625 Not in principal cities 58118 53029 91.2
## 626 18201 16240 89.2
## 627 22516 20525 91.2
## 628 28301 25505 90.1
## 629 51183 45373 88.6
## 630 30044 27132 90.3
## 631 132730 115750 87.2
## 632 37235 30798 82.7
## 633 With children < 6 years 15551 12948 83.3
## 634 Married-couple families 24152 21572 89.3
## 635 Female head, no spouse 9207 6160 66.9
## 636 Male head, no spouse 3437 2708 78.8
## 637 Other household with child 439 358 81.5
## 638 95494 84951 89.0
## 639 More than one adult 55904 51110 91.4
## 640 Women living alone 21247 18037 84.9
## 641 Men living alone 18344 15805 86.2
## 642 42670 38775 90.9
## 643 Elderly living alone 16381 14509 88.6
## 644 85603 77682 90.7
## 645 17271 13406 77.6
## 646 19507 15453 79.2
## 647 10348 9208 89.0
## 648 12948 8193 63.3
## 649 18338 11891 64.8
## 650 27305 18563 68.0
## 651 76680 71500 93.2
## 652 28744 25685 89.4
## 653 114666 100347 87.5
## 654 In principal cities 38197 32359 84.7
## 655 Not in principal cities 59281 53079 89.5
## 656 18063 15401 85.3
## 657 22807 20161 88.4
## 658 28581 25050 87.6
## 659 51529 44058 85.5
## 660 29814 26481 88.8
## Food.insecure.1.000 Food.insecure.percent Low.food.security.1.000
## 211 17149 14.6 10426
## 212 8335 21.0 5718
## 213 3908 22.3 2818
## 214 3818 14.3 2735
## 215 3582 37.2 2296
## 216 769 27.6 569
## 217 167 29.2 118
## 218 8814 11.3 4708
## 219 4162 9.1 2409
## 220 2668 14.9 1284
## 221 1983 14.0 1015
## 222 2284 8.1 1402
## 223 980 8.8 552
## 224 8894 10.7 5154
## 225 3709 25.7 2251
## 226 3631 26.9 2439
## 227 914 13.7 582
## 228 5541 42.2 3014
## 229 7956 39.0 4403
## 230 10058 33.9 5731
## 231 5395 7.7 3595
## 232 1697 9.7 1101
## 233 14399 14.7 8757
## 234 5802 17.7 3634
## 235 6114 12.7 3650
## 236 2750 14.2 1669
## 237 2725 12.8 1610
## 238 3699 14.0 2254
## 239 6921 15.9 4216
## 240 3804 14.5 2346
## 241 17354 14.7 10601
## 242 8411 21.3 5812
## 243 4032 22.9 2896
## 244 3859 14.7 2818
## 245 3554 36.6 2300
## 246 801 27.8 561
## 247 197 32.5 133
## 248 8943 11.4 4789
## 249 4273 9.2 2443
## 250 2598 14.7 1288
## 251 2072 14.5 1058
## 252 2169 7.5 1416
## 253 884 7.8 536
## 254 9193 11.0 5394
## 255 3611 24.9 2259
## 256 3644 26.9 2388
## 257 904 13.2 559
## 258 5668 43.0 3221
## 259 7913 39.7 4520
## 260 10260 34.8 6020
## 261 4858 7.6 3161
## 262 2235 9.0 1420
## 263 14533 14.8 8843
## 264 5631 17.2 3417
## 265 6437 13.2 3912
## 266 2821 14.2 1757
## 267 2616 12.2 1591
## 268 3676 13.9 2251
## 269 6957 15.9 4228
## 270 4105 15.5 2531
## 271 17229 14.5 10872
## 272 7972 20.2 5724
## 273 3881 21.8 2850
## 274 3550 13.8 2636
## 275 3534 35.1 2450
## 276 757 25.4 558
## 277 131 20.8 81
## 278 9257 11.7 5148
## 279 4644 9.9 2781
## 280 2426 13.7 1329
## 281 2188 15.0 1038
## 282 2336 7.9 1563
## 283 925 8.0 551
## 284 8996 10.8 5512
## 285 3659 25.1 2332
## 286 3693 26.2 2507
## 287 881 12.7 521
## 288 6077 40.2 3584
## 289 7868 37.6 4757
## 290 10161 33.8 6232
## 291 4625 7.4 3092
## 292 2443 9.3 1548
## 293 14278 14.5 9015
## 294 5561 17.0 3491
## 295 6169 12.6 3902
## 296 2952 14.7 1858
## 297 2695 12.4 1665
## 298 3527 13.3 2153
## 299 7067 16.0 4591
## 300 3940 15.1 2463
## 301 17853 14.9 11014
## 302 7989 20.6 5750
## 303 3787 21.9 2884
## 304 3542 13.9 2671
## 305 3566 36.8 2452
## 306 760 24.9 532
## 307 121 19.0 96
## 308 9864 12.2 5264
## 309 4760 9.9 2778
## 310 2816 15.6 1387
## 311 2288 15.5 1099
## 312 2520 8.4 1589
## 313 1002 8.8 579
## 314 9481 11.4 5689
## 315 3699 25.1 2155
## 316 3781 26.2 2583
## 317 892 12.7 587
## 318 6393 41.1 3616
## 319 8343 37.6 4763
## 320 10844 34.5 6376
## 321 4356 7.0 2938
## 322 2653 10.3 1700
## 323 14836 14.9 9163
## 324 5918 17.7 3646
## 325 6483 13.2 4013
## 326 3017 15.4 1851
## 327 2914 13.5 1777
## 328 3561 13.5 2141
## 329 7154 16.0 4431
## 330 4225 15.8 2665
## 331 17632 14.5 10679
## 332 7847 20.0 5478
## 333 3555 20.5 2608
## 334 3326 13.2 2500
## 335 3668 35.4 2351
## 336 709 23.6 519
## 337 144 24.5 108
## 338 9785 11.9 5201
## 339 4851 9.8 2695
## 340 2741 15.3 1400
## 341 2192 14.7 1106
## 342 2810 8.8 1682
## 343 1063 9.1 595
## 344 9303 11.2 5452
## 345 3689 24.6 2136
## 346 3631 23.3 2469
## 347 1010 13.0 623
## 348 6351 40.9 3526
## 349 8325 38.2 4676
## 350 10725 34.3 6197
## 351 4392 6.8 2916
## 352 2516 9.7 1567
## 353 14515 14.3 8809
## 354 5745 16.9 3468
## 355 6401 12.7 3930
## 356 3117 15.5 1870
## 357 2591 11.9 1594
## 358 3829 14.2 2128
## 359 7327 16.0 4660
## 360 3885 14.4 2297
## 361 17509 14.3 10664
## 362 7507 19.5 5240
## 363 3537 20.9 2556
## 364 3196 12.8 2283
## 365 3448 34.4 2362
## 366 698 23.1 501
## 367 166 30.7 95
## 368 10001 11.9 5423
## 369 4944 9.9 2913
## 370 2833 15.2 1453
## 371 2225 14.6 1058
## 372 2890 8.7 1866
## 373 1109 9.0 657
## 374 8860 10.6 5033
## 375 3989 26.1 2442
## 376 3709 23.7 2660
## 377 949 11.7 528
## 378 6236 42.1 3489
## 379 8058 38.9 4589
## 380 10380 34.8 6089
## 381 4211 6.7 2784
## 382 2917 9.8 1790
## 383 14552 14.1 8857
## 384 5758 16.7 3593
## 385 6173 12.1 3721
## 386 2957 15.1 1807
## 387 2704 12.4 1636
## 388 3677 13.6 2198
## 389 7282 15.7 4421
## 390 3845 14.1 2408
## 391 17426 14.0 10488
## 392 7489 19.2 5147
## 393 3425 19.9 2457
## 394 3150 12.4 2346
## 395 3501 35.3 2230
## 396 704 21.7 476
## 397 135 24.4 96
## 398 9936 11.7 5340
## 399 4890 9.7 2772
## 400 2913 15.3 1541
## 401 2133 14.0 1027
## 402 3039 8.9 1941
## 403 1184 9.3 704
## 404 8792 10.5 4966
## 405 4031 26.1 2434
## 406 3621 22.4 2502
## 407 981 11.8 585
## 408 6252 39.5 3409
## 409 7774 37.4 4290
## 410 10586 33.7 6030
## 411 4047 6.3 2683
## 412 2792 9.8 1775
## 413 14150 13.5 8601
## 414 5587 15.7 3476
## 415 6113 11.8 3600
## 416 3275 17.1 1886
## 417 2947 13.3 1789
## 418 3771 13.8 2180
## 419 7066 15.1 4235
## 420 3641 13.1 2284
## 421 15849 12.7 9540
## 422 6459 16.6 4557
## 423 2866 16.9 2146
## 424 2562 10.2 1923
## 425 3065 30.3 2109
## 426 701 22.4 443
## 427 130 26.2 82
## 428 9391 10.9 4983
## 429 4381 8.5 2504
## 430 2785 14.7 1413
## 431 2224 14.0 1065
## 432 2925 8.3 1789
## 433 1205 9.2 657
## 434 8368 10.0 4759
## 435 3377 21.5 2127
## 436 3211 19.1 2132
## 437 892 10.3 521
## 438 5383 38.3 3006
## 439 6963 36.8 3966
## 440 9515 32.8 5572
## 441 3767 5.8 2376
## 442 2569 8.3 1593
## 443 13043 12.2 7843
## 444 5203 14.1 3240
## 445 5562 10.4 3304
## 446 2806 15.4 1697
## 447 2660 11.9 1616
## 448 3472 12.8 2069
## 449 6288 13.3 3750
## 450 3429 12.1 2105
## 451 15551 12.3 9413
## 452 6341 16.5 4501
## 453 2751 16.6 1923
## 454 2471 9.9 1843
## 455 3088 31.6 2061
## 456 667 21.7 509
## 457 115 22.2 NA
## 458 9209 10.5 4911
## 459 4191 8.0 2411
## 460 2739 13.9 1420
## 461 2280 14.3 1080
## 462 2839 7.8 1786
## 463 1203 8.9 733
## 464 7816 9.3 4591
## 465 3594 22.5 2048
## 466 3147 18.5 2152
## 467 994 10.7 622
## 468 5331 38.3 2920
## 469 6605 35.7 3725
## 470 9165 31.6 5319
## 471 3784 5.6 2499
## 472 2602 8.8 1595
## 473 12803 11.8 7868
## 474 5297 14.2 3117
## 475 5177 9.5 3286
## 476 2748 15.0 1545
## 477 2452 10.8 1594
## 478 3331 12.2 1871
## 479 6490 13.5 3890
## 480 3278 11.5 2057
## 481 15018 11.8 9261
## 482 5966 15.7 4421
## 483 2649 16.4 2008
## 484 2361 9.5 1876
## 485 2898 30.3 2038
## 486 602 19.7 429
## 487 105 18.1 <NA>
## 488 9052 10.1 4840
## 489 4110 7.7 2357
## 490 2768 13.9 1362
## 491 2173 13.4 1120
## 492 2991 7.9 1833
## 493 1234 8.6 710
## 494 7465 8.8 4389
## 495 3559 21.8 2164
## 496 3089 18.0 2137
## 497 906 9.9 572
## 498 4736 36.8 2641
## 499 5953 34.5 3387
## 500 8313 30.8 4901
## 501 4037 5.8 2783
## 502 2668 8.7 1577
## 503 12576 11.5 7807
## 504 5166 13.8 3132
## 505 5178 9.4 3204
## 506 2442 13.3 1454
## 507 2240 9.9 1486
## 508 3235 11.7 1909
## 509 6464 13.4 3995
## 510 3079 10.7 1871
## 511 14311 11.1 8730
## 512 5243 13.9 3750
## 513 2339 14.3 1720
## 514 2040 8.3 1633
## 515 2596 27.8 1715
## 516 516 15.9 346
## 517 90 21.1 <NA>
## 518 9068 9.9 4980
## 519 4052 7.5 2413
## 520 2873 14.2 1552
## 521 2143 12.5 1015
## 522 2934 7.5 1918
## 523 1336 8.9 824
## 524 6869 8.1 4109
## 525 3526 21.2 2021
## 526 2937 16.2 2018
## 527 979 10.2 582
## 528 4285 35.3 2356
## 529 5642 33.1 3186
## 530 7803 29.1 4584
## 531 3831 5.4 2517
## 532 2677 8.5 1629
## 533 11998 10.8 7299
## 534 5004 13.2 2984
## 535 4992 8.9 3083
## 536 2312 12.7 1430
## 537 2290 10.2 1341
## 538 3010 10.8 1914
## 539 5985 12.0 3582
## 540 3025 10.4 1892
## 541 13662 10.5 8340
## 542 5134 13.6 3677
## 543 2332 14.5 1736
## 544 1839 7.5 1494
## 545 2686 28.7 1790
## 546 509 15.4 313
## 547 100 17.5 <NA>
## 548 8528 9.3 4663
## 549 3658 6.7 2185
## 550 2725 13.0 1386
## 551 2145 12.8 1092
## 552 2902 7.2 1842
## 553 1333 8.7 801
## 554 6758 7.9 3966
## 555 3148 19.1 1891
## 556 2819 15.6 1937
## 557 937 9.5 546
## 558 3907 34.9 2167
## 559 5233 33.0 3002
## 560 7356 27.6 4384
## 561 3577 5.1 2387
## 562 2728 8.4 1569
## 563 11476 10.3 6990
## 564 4749 12.4 2875
## 565 4594 8.3 2867
## 566 2186 12.1 1350
## 567 2139 9.6 1303
## 568 2938 10.5 1778
## 569 5609 11.2 3352
## 570 2976 10.2 1907
## 571 13754 10.5 8613
## 572 5623 14.8 4166
## 573 2464 15.3 1927
## 574 2329 9.5 1869
## 575 2704 27.7 1905
## 576 538 16.3 357
## 577 51 12.3 <NA>
## 578 8131 8.8 4447
## 579 3887 7.1 2247
## 580 2302 11.0 1229
## 581 1941 11.4 970
## 582 2832 6.9 1797
## 583 1286 8.3 755
## 584 6079 7.1 3547
## 585 3628 21.7 2295
## 586 3184 17.2 2263
## 587 861 8.8 507
## 588 3714 35.3 2203
## 589 5453 33.1 3307
## 590 7344 28.6 4582
## 591 3447 4.9 2283
## 592 2962 8.7 1748
## 593 11627 10.4 7319
## 594 4913 12.7 2974
## 595 4948 8.8 3263
## 596 2127 11.6 1294
## 597 2070 9.3 1337
## 598 2643 9.5 1416
## 599 6234 12.3 4055
## 600 2807 9.5 1805
## 601 13510 10.2 8428
## 602 4595 12.5 3277
## 603 1988 12.9 1473
## 604 1761 7.4 1344
## 605 2232 24.3 1497
## 606 516 16.2 374
## 607 86 16.4 <NA>
## 608 8914 9.4 5150
## 609 3898 6.9 2458
## 610 2860 13.2 1568
## 611 2157 12.3 1125
## 612 3028 7.1 1858
## 613 1526 9.5 798
## 614 6023 7.0 3754
## 615 3354 19.8 2019
## 616 3099 16.2 2059
## 617 1032 10.2 595
## 618 3828 32.1 2187
## 619 5272 31.0 3127
## 620 7036 26.5 4320
## 621 3586 5.0 2328
## 622 2887 8.5 1779
## 623 11547 10.1 7219
## 624 4676 12.2 2899
## 625 5089 8.8 3228
## 626 1961 10.8 1208
## 627 1991 8.8 1263
## 628 2796 9.9 1737
## 629 5810 11.4 3605
## 630 2912 9.7 1822
## 631 16980 12.8 10187
## 632 6437 17.3 4404
## 633 2603 16.7 1769
## 634 2580 10.7 1965
## 635 3047 33.1 1890
## 636 729 21.2 488
## 637 81 18.5 <NA>
## 638 10543 11.0 5783
## 639 4794 8.6 2712
## 640 3210 15.1 1759
## 641 2539 13.8 1311
## 642 3895 9.1 2438
## 643 1872 11.4 1119
## 644 7921 9.3 4522
## 645 3865 22.4 2283
## 646 4054 20.8 2682
## 647 1140 11.0 700
## 648 4755 36.7 2592
## 649 6447 35.2 3583
## 650 8742 32.0 5044
## 651 5180 6.8 3343
## 652 3059 10.6 1801
## 653 14319 12.5 8592
## 654 5838 15.3 3495
## 655 6202 10.5 3703
## 656 2662 14.7 1595
## 657 2646 11.6 1661
## 658 3531 12.4 1963
## 659 7471 14.5 4536
## 660 3333 11.2 2027
## Low.food.security.percent Very.low.food.security.1.000
## 211 8.9 6723
## 212 14.4 2617
## 213 16.1 1090
## 214 10.2 1083
## 215 23.8 1286
## 216 20.5 200
## 217 20.6 49
## 218 6.0 4106
## 219 5.3 1753
## 220 7.2 1384
## 221 7.2 968
## 222 5.0 882
## 223 5.0 428
## 224 6.2 3740
## 225 15.6 1458
## 226 18.1 1192
## 227 8.7 332
## 228 23.0 2527
## 229 21.6 3553
## 230 19.3 4327
## 231 5.1 1800
## 232 6.3 596
## 233 8.9 5642
## 234 11.1 2168
## 235 7.6 2464
## 236 8.6 1081
## 237 7.5 1115
## 238 8.5 1445
## 239 9.7 2705
## 240 8.9 1458
## 241 9.0 6753
## 242 14.7 2599
## 243 16.5 1136
## 244 10.7 1041
## 245 23.7 1254
## 246 19.5 240
## 247 21.9 64
## 248 6.1 4154
## 249 5.2 1830
## 250 7.3 1310
## 251 7.4 1014
## 252 4.9 753
## 253 4.7 348
## 254 6.5 3799
## 255 15.6 1352
## 256 17.6 1256
## 257 8.2 345
## 258 24.4 2447
## 259 22.7 3393
## 260 20.4 4240
## 261 4.9 1697
## 262 5.7 815
## 263 9.0 5690
## 264 10.5 2214
## 265 8.0 2525
## 266 8.9 1064
## 267 7.4 1025
## 268 8.5 1425
## 269 9.6 2729
## 270 9.6 1574
## 271 9.2 6357
## 272 14.5 2248
## 273 16.0 1031
## 274 10.2 914
## 275 24.3 1084
## 276 18.7 199
## 277 12.9 50
## 278 6.5 4109
## 279 5.9 1863
## 280 7.5 1097
## 281 7.1 1150
## 282 5.3 773
## 283 4.8 374
## 284 6.6 3484
## 285 16.0 1327
## 286 17.8 1186
## 287 7.5 360
## 288 23.7 2493
## 289 22.8 3111
## 290 20.7 3929
## 291 5.0 1533
## 292 5.9 895
## 293 9.1 5263
## 294 10.7 2070
## 295 8.0 2267
## 296 9.2 1094
## 297 7.7 1030
## 298 8.1 1374
## 299 10.4 2476
## 300 9.4 1477
## 301 9.2 6839
## 302 14.8 2239
## 303 16.7 903
## 304 10.5 871
## 305 25.3 1114
## 306 17.4 228
## 307 15.0 25
## 308 6.5 4600
## 309 5.8 1982
## 310 7.7 1429
## 311 7.4 1189
## 312 5.3 931
## 313 5.1 423
## 314 6.8 3792
## 315 14.6 1544
## 316 17.9 1198
## 317 8.4 305
## 318 23.2 2777
## 319 21.5 3580
## 320 20.3 4468
## 321 4.7 1418
## 322 6.6 953
## 323 9.2 5673
## 324 10.9 2272
## 325 8.1 2470
## 326 9.4 1166
## 327 8.2 1137
## 328 8.1 1420
## 329 9.9 2723
## 330 10.0 1560
## 331 8.8 6953
## 332 14.0 2369
## 333 15.1 947
## 334 9.9 826
## 335 22.7 1317
## 336 17.3 190
## 337 18.4 36
## 338 6.3 4584
## 339 5.4 2156
## 340 7.8 1341
## 341 7.4 1086
## 342 5.3 1128
## 343 5.1 468
## 344 6.6 3851
## 345 14.3 1553
## 346 15.8 1162
## 347 8.0 387
## 348 22.7 2825
## 349 21.5 3649
## 350 19.8 4528
## 351 4.5 1476
## 352 6.0 949
## 353 8.7 5706
## 354 10.2 2277
## 355 7.8 2471
## 356 9.3 1247
## 357 7.3 997
## 358 7.9 1701
## 359 10.2 2667
## 360 8.5 1588
## 361 8.7 6845
## 362 13.6 2267
## 363 15.1 981
## 364 9.2 913
## 365 23.6 1086
## 366 16.6 197
## 367 17.6 71
## 368 6.4 4578
## 369 5.8 2031
## 370 7.8 1380
## 371 6.9 1167
## 372 5.6 1024
## 373 5.3 452
## 374 6.0 3827
## 375 15.9 1547
## 376 17.0 1049
## 377 6.5 421
## 378 23.5 2747
## 379 22.2 3469
## 380 20.4 4291
## 381 4.4 1427
## 382 6.0 1127
## 383 8.6 5695
## 384 10.4 2165
## 385 7.3 2452
## 386 9.2 1150
## 387 7.5 1068
## 388 8.1 1479
## 389 9.6 2861
## 390 8.8 1437
## 391 8.4 6938
## 392 13.2 2342
## 393 14.3 968
## 394 9.2 804
## 395 22.5 1271
## 396 14.7 228
## 397 17.3 39
## 398 6.3 4596
## 399 5.5 2118
## 400 8.1 1372
## 401 6.7 1106
## 402 5.7 1098
## 403 5.5 480
## 404 5.9 3826
## 405 15.8 1597
## 406 15.5 1119
## 407 7.0 396
## 408 21.6 2843
## 409 20.6 3484
## 410 19.2 4556
## 411 4.2 1364
## 412 6.2 1017
## 413 8.2 5549
## 414 9.7 2111
## 415 6.9 2513
## 416 9.9 1389
## 417 8.1 1158
## 418 8.0 1591
## 419 9.0 2831
## 420 8.2 1357
## 421 7.6 6309
## 422 11.7 1902
## 423 12.6 720
## 424 7.6 639
## 425 20.8 956
## 426 14.1 258
## 427 16.5 48
## 428 5.8 4408
## 429 4.9 1877
## 430 7.5 1372
## 431 6.7 1159
## 432 5.1 1136
## 433 5.0 548
## 434 5.7 3609
## 435 13.5 1250
## 436 12.7 1079
## 437 6.0 371
## 438 21.4 2377
## 439 21.0 2997
## 440 19.2 3943
## 441 3.6 1391
## 442 5.2 976
## 443 7.3 5200
## 444 8.8 1963
## 445 6.2 2258
## 446 9.3 1109
## 447 7.2 1044
## 448 7.6 1403
## 449 7.9 2538
## 450 7.4 1324
## 451 7.4 6138
## 452 11.7 1840
## 453 11.6 828
## 454 7.4 628
## 455 21.1 1027
## 456 16.6 158
## 457 NA NA
## 458 5.6 4298
## 459 4.6 1780
## 460 7.2 1319
## 461 6.8 1200
## 462 4.9 1053
## 463 5.4 470
## 464 5.5 3225
## 465 12.8 1546
## 466 12.7 995
## 467 6.7 372
## 468 21.0 2411
## 469 20.2 2880
## 470 18.3 3846
## 471 3.7 1285
## 472 5.4 1007
## 473 7.2 4935
## 474 8.3 2180
## 475 6.0 1891
## 476 8.4 1203
## 477 7.0 858
## 478 6.9 1460
## 479 8.1 2600
## 480 7.2 1221
## 481 7.3 5757
## 482 11.7 1545
## 483 12.4 641
## 484 7.6 485
## 485 21.3 860
## 486 14.0 173
## 487 NA <NA>
## 488 5.4 4212
## 489 4.4 1753
## 490 6.8 1406
## 491 6.9 1053
## 492 4.8 1158
## 493 5.0 524
## 494 5.2 3076
## 495 13.2 1395
## 496 12.4 952
## 497 6.2 334
## 498 20.5 2095
## 499 19.6 2566
## 500 18.1 3412
## 501 4.0 1254
## 502 5.1 1091
## 503 7.2 4769
## 504 8.4 2034
## 505 5.8 1974
## 506 7.9 988
## 507 6.6 754
## 508 6.9 1326
## 509 8.3 2469
## 510 6.5 1208
## 511 6.8 5581
## 512 9.9 1493
## 513 10.5 619
## 514 6.6 407
## 515 18.4 881
## 516 10.6 170
## 517 NA <NA>
## 518 5.4 4088
## 519 4.5 1639
## 520 7.7 1321
## 521 5.9 1128
## 522 4.9 1016
## 523 5.5 512
## 524 4.9 2760
## 525 12.1 1505
## 526 11.1 919
## 527 6.0 397
## 528 19.4 1929
## 529 18.7 2456
## 530 17.1 3219
## 531 3.5 1314
## 532 5.2 1048
## 533 6.6 4699
## 534 7.9 2020
## 535 5.5 1909
## 536 7.9 882
## 537 6.0 949
## 538 6.9 1096
## 539 7.2 2403
## 540 6.5 1133
## 541 6.4 5322
## 542 9.8 1457
## 543 10.8 596
## 544 6.1 345
## 545 19.1 896
## 546 9.5 196
## 547 NA <NA>
## 548 5.1 3865
## 549 4.0 1473
## 550 6.6 1339
## 551 6.5 1053
## 552 4.6 1060
## 553 5.2 532
## 554 4.7 2792
## 555 11.5 1257
## 556 10.7 882
## 557 5.5 391
## 558 19.3 1740
## 559 18.9 2231
## 560 16.5 2972
## 561 3.4 1190
## 562 4.8 1159
## 563 6.3 4486
## 564 7.5 1874
## 565 5.2 1727
## 566 7.5 836
## 567 5.8 836
## 568 6.4 1160
## 569 6.7 2257
## 570 6.5 1069
## 571 6.6 5141
## 572 11.0 1457
## 573 12.0 537
## 574 7.6 460
## 575 19.5 799
## 576 10.8 181
## 577 NA <NA>
## 578 4.8 3684
## 579 4.1 1640
## 580 5.9 1073
## 581 5.7 971
## 582 4.4 1035
## 583 4.9 531
## 584 4.1 2532
## 585 13.7 1333
## 586 12.2 921
## 587 5.2 354
## 588 20.9 1511
## 589 20.1 2146
## 590 17.8 2762
## 591 3.3 1164
## 592 5.1 1214
## 593 6.6 4308
## 594 7.7 1939
## 595 5.8 1685
## 596 7.1 833
## 597 6.0 733
## 598 5.1 1227
## 599 8.0 2179
## 600 6.1 1002
## 601 6.4 5082
## 602 8.9 1318
## 603 9.6 515
## 604 5.7 417
## 605 16.3 735
## 606 11.8 142
## 607 NA <NA>
## 608 5.4 3764
## 609 4.3 1440
## 610 7.2 1292
## 611 6.4 1032
## 612 4.3 1170
## 613 5.0 728
## 614 4.4 2269
## 615 11.9 1335
## 616 10.7 1040
## 617 5.9 437
## 618 18.3 1641
## 619 18.4 2145
## 620 16.3 2716
## 621 3.2 1258
## 622 5.2 1108
## 623 6.3 4328
## 624 7.6 1777
## 625 5.6 1861
## 626 6.7 753
## 627 5.6 728
## 628 6.2 1059
## 629 7.1 2205
## 630 6.1 1090
## 631 7.7 6793
## 632 11.8 2033
## 633 11.3 834
## 634 8.2 615
## 635 20.5 1157
## 636 14.2 241
## 637 NA NA
## 638 6.0 4760
## 639 4.9 2082
## 640 8.3 1451
## 641 7.1 1228
## 642 5.7 1457
## 643 6.8 753
## 644 5.3 3399
## 645 13.2 1582
## 646 13.8 1372
## 647 6.7 440
## 648 20.0 2163
## 649 19.6 2864
## 650 18.5 3698
## 651 4.4 1837
## 652 6.2 1258
## 653 7.5 5727
## 654 9.2 2343
## 655 6.3 2499
## 656 8.8 1067
## 657 7.3 985
## 658 6.9 1568
## 659 8.8 2935
## 660 6.8 1306
## Very.low.food.security.percent
## 211 5.7
## 212 6.6
## 213 6.2
## 214 4.1
## 215 13.3
## 216 7.2
## 217 8.6
## 218 5.3
## 219 3.8
## 220 7.7
## 221 6.8
## 222 3.1
## 223 3.8
## 224 4.5
## 225 10.1
## 226 8.8
## 227 5.0
## 228 19.3
## 229 17.4
## 230 14.6
## 231 2.6
## 232 3.4
## 233 5.7
## 234 6.6
## 235 5.1
## 236 5.6
## 237 5.2
## 238 5.5
## 239 6.2
## 240 5.5
## 241 5.7
## 242 6.6
## 243 6.5
## 244 4.0
## 245 12.9
## 246 8.3
## 247 10.5
## 248 5.3
## 249 3.9
## 250 7.4
## 251 7.1
## 252 2.6
## 253 3.1
## 254 4.6
## 255 9.3
## 256 9.3
## 257 5.1
## 258 18.5
## 259 17.0
## 260 14.4
## 261 2.7
## 262 3.3
## 263 5.8
## 264 6.8
## 265 5.2
## 266 5.4
## 267 4.8
## 268 5.4
## 269 6.2
## 270 6.0
## 271 5.4
## 272 5.7
## 273 5.8
## 274 3.6
## 275 10.8
## 276 6.7
## 277 7.9
## 278 5.2
## 279 4.0
## 280 6.2
## 281 7.9
## 282 2.6
## 283 3.2
## 284 4.2
## 285 9.1
## 286 8.4
## 287 5.2
## 288 16.5
## 289 14.9
## 290 13.1
## 291 2.5
## 292 3.4
## 293 5.3
## 294 6.3
## 295 4.6
## 296 5.4
## 297 4.7
## 298 5.2
## 299 5.6
## 300 5.6
## 301 5.7
## 302 5.8
## 303 5.2
## 304 3.4
## 305 11.5
## 306 7.5
## 307 3.9
## 308 5.7
## 309 4.1
## 310 7.9
## 311 8.0
## 312 3.1
## 313 3.7
## 314 4.6
## 315 10.5
## 316 8.3
## 317 4.4
## 318 17.9
## 319 16.1
## 320 14.2
## 321 2.3
## 322 3.7
## 323 5.7
## 324 6.8
## 325 5.0
## 326 5.9
## 327 5.3
## 328 5.4
## 329 6.1
## 330 5.8
## 331 5.7
## 332 6.0
## 333 5.5
## 334 3.3
## 335 12.7
## 336 6.3
## 337 6.1
## 338 5.6
## 339 4.3
## 340 7.5
## 341 7.3
## 342 3.5
## 343 4.0
## 344 4.6
## 345 10.4
## 346 7.4
## 347 5.0
## 348 18.2
## 349 16.7
## 350 14.5
## 351 2.3
## 352 3.6
## 353 5.6
## 354 6.7
## 355 4.9
## 356 6.2
## 357 4.6
## 358 6.3
## 359 5.8
## 360 5.9
## 361 5.6
## 362 5.9
## 363 5.8
## 364 3.7
## 365 10.8
## 366 6.5
## 367 13.1
## 368 5.4
## 369 4.1
## 370 7.4
## 371 7.6
## 372 3.1
## 373 3.7
## 374 4.6
## 375 10.1
## 376 6.7
## 377 5.2
## 378 18.5
## 379 16.7
## 380 14.4
## 381 2.3
## 382 3.8
## 383 5.5
## 384 6.3
## 385 4.8
## 386 5.9
## 387 4.9
## 388 5.5
## 389 6.2
## 390 5.3
## 391 5.6
## 392 6.0
## 393 5.6
## 394 3.2
## 395 12.8
## 396 7.0
## 397 7.0
## 398 5.4
## 399 4.2
## 400 7.2
## 401 7.2
## 402 3.2
## 403 3.8
## 404 4.5
## 405 10.4
## 406 6.9
## 407 4.7
## 408 18.0
## 409 16.8
## 410 14.5
## 411 2.1
## 412 3.6
## 413 5.3
## 414 5.9
## 415 4.8
## 416 7.3
## 417 5.2
## 418 5.8
## 419 6.0
## 420 4.9
## 421 5.0
## 422 4.9
## 423 4.2
## 424 2.5
## 425 9.4
## 426 8.2
## 427 9.7
## 428 5.1
## 429 3.7
## 430 7.2
## 431 7.3
## 432 3.2
## 433 4.2
## 434 4.3
## 435 7.9
## 436 6.4
## 437 4.3
## 438 16.9
## 439 15.8
## 440 13.6
## 441 2.1
## 442 3.2
## 443 4.9
## 444 5.3
## 445 4.2
## 446 6.1
## 447 4.7
## 448 5.2
## 449 5.4
## 450 4.7
## 451 4.9
## 452 4.8
## 453 5.0
## 454 2.5
## 455 10.5
## 456 5.1
## 457 NA
## 458 4.9
## 459 3.4
## 460 6.7
## 461 7.5
## 462 2.9
## 463 3.5
## 464 3.8
## 465 9.7
## 466 5.8
## 467 4.0
## 468 17.3
## 469 15.5
## 470 13.3
## 471 1.9
## 472 3.4
## 473 4.6
## 474 5.9
## 475 3.5
## 476 6.6
## 477 3.8
## 478 5.3
## 479 5.4
## 480 4.3
## 481 4.5
## 482 4.1
## 483 4.0
## 484 2.0
## 485 9.0
## 486 5.7
## 487 NA
## 488 4.7
## 489 3.3
## 490 7.0
## 491 6.5
## 492 3.1
## 493 3.7
## 494 3.6
## 495 8.5
## 496 5.5
## 497 3.6
## 498 16.3
## 499 14.9
## 500 12.6
## 501 1.8
## 502 3.5
## 503 4.4
## 504 5.4
## 505 3.6
## 506 5.4
## 507 3.3
## 508 4.8
## 509 5.1
## 510 4.2
## 511 4.3
## 512 4.0
## 513 3.8
## 514 1.7
## 515 9.4
## 516 5.3
## 517 NA
## 518 4.5
## 519 3.0
## 520 6.5
## 521 6.6
## 522 2.6
## 523 3.4
## 524 3.2
## 525 9.1
## 526 5.1
## 527 4.2
## 528 15.9
## 529 14.4
## 530 12.0
## 531 1.9
## 532 3.3
## 533 4.2
## 534 5.3
## 535 3.4
## 536 4.8
## 537 4.2
## 538 3.9
## 539 4.8
## 540 3.9
## 541 4.1
## 542 3.9
## 543 3.7
## 544 1.4
## 545 9.6
## 546 5.9
## 547 NA
## 548 4.2
## 549 2.7
## 550 6.4
## 551 6.3
## 552 2.6
## 553 3.5
## 554 3.3
## 555 7.6
## 556 4.9
## 557 4.0
## 558 15.5
## 559 14.1
## 560 11.2
## 561 1.7
## 562 3.6
## 563 4.0
## 564 4.9
## 565 3.1
## 566 4.6
## 567 3.8
## 568 4.2
## 569 4.5
## 570 3.6
## 571 3.9
## 572 3.8
## 573 3.3
## 574 1.9
## 575 8.2
## 576 5.5
## 577 NA
## 578 4.0
## 579 3.0
## 580 5.1
## 581 5.7
## 582 2.5
## 583 3.4
## 584 3.0
## 585 8.0
## 586 5.0
## 587 3.6
## 588 14.4
## 589 13.0
## 590 10.8
## 591 1.6
## 592 3.6
## 593 3.8
## 594 5.0
## 595 3.0
## 596 4.5
## 597 3.3
## 598 4.4
## 599 4.3
## 600 3.4
## 601 3.8
## 602 3.6
## 603 3.3
## 604 1.7
## 605 8.0
## 606 4.4
## 607 NA
## 608 4.0
## 609 2.6
## 610 6.0
## 611 5.9
## 612 2.8
## 613 4.5
## 614 2.6
## 615 7.9
## 616 5.5
## 617 4.3
## 618 13.8
## 619 12.6
## 620 10.2
## 621 1.8
## 622 3.3
## 623 3.8
## 624 4.6
## 625 3.2
## 626 4.1
## 627 3.2
## 628 3.7
## 629 4.3
## 630 3.6
## 631 5.1
## 632 5.5
## 633 5.4
## 634 2.5
## 635 12.6
## 636 7.0
## 637 NA
## 638 5.0
## 639 3.7
## 640 6.8
## 641 6.7
## 642 3.4
## 643 4.6
## 644 4.0
## 645 9.2
## 646 7.0
## 647 4.3
## 648 16.7
## 649 15.6
## 650 13.5
## 651 2.4
## 652 4.4
## 653 5.0
## 654 6.1
## 655 4.2
## 656 5.9
## 657 4.3
## 658 5.5
## 659 5.7
## 660 4.4foodsecurity_index <- foodsecurity_row # Duplicate data
rownames(foodsecurity_index) <- 1:nrow(foodsecurity_index) # Assign sequence to row names
foodsecurity_index ## Year Category Subcategory
## 1 2008 All households
## 2 2008 Household composition With children < 18 years
## 3 2008 Household composition With children < 18 years
## 4 2008 Household composition With children < 18 years
## 5 2008 Household composition With children < 18 years
## 6 2008 Household composition With children < 18 years
## 7 2008 Household composition With children < 18 years
## 8 2008 Household composition With no children < 18 years
## 9 2008 Household composition With no children < 18 years
## 10 2008 Household composition With no children < 18 years
## 11 2008 Household composition With no children < 18 years
## 12 2008 Household composition With elderly
## 13 2008 Household composition With elderly
## 14 2008 Race/ethnicity of households White non-Hispanic
## 15 2008 Race/ethnicity of households Black non-Hispanic
## 16 2008 Race/ethnicity of households Hispanic
## 17 2008 Race/ethnicity of households Other
## 18 2008 Household income-to-poverty ratio Under 1.00
## 19 2008 Household income-to-poverty ratio Under 1.30
## 20 2008 Household income-to-poverty ratio Under 1.85
## 21 2008 Household income-to-poverty ratio 1.85 and over
## 22 2008 Household income-to-poverty ratio Income unknown
## 23 2008 Area of residence Inside metropolitan area
## 24 2008 Area of residence Inside metropolitan area
## 25 2008 Area of residence Inside metropolitan area
## 26 2008 Area of residence Outside metropolitan area
## 27 2008 Census geographic region Northeast
## 28 2008 Census geographic region Midwest
## 29 2008 Census geographic region South
## 30 2008 Census geographic region West
## 31 2009 All households
## 32 2009 Household composition With children < 18 years
## 33 2009 Household composition With children < 18 years
## 34 2009 Household composition With children < 18 years
## 35 2009 Household composition With children < 18 years
## 36 2009 Household composition With children < 18 years
## 37 2009 Household composition With children < 18 years
## 38 2009 Household composition With no children < 18 years
## 39 2009 Household composition With no children < 18 years
## 40 2009 Household composition With no children < 18 years
## 41 2009 Household composition With no children < 18 years
## 42 2009 Household composition With elderly
## 43 2009 Household composition With elderly
## 44 2009 Race/ethnicity of households White non-Hispanic
## 45 2009 Race/ethnicity of households Black non-Hispanic
## 46 2009 Race/ethnicity of households Hispanic
## 47 2009 Race/ethnicity of households Other
## 48 2009 Household income-to-poverty ratio Under 1.00
## 49 2009 Household income-to-poverty ratio Under 1.30
## 50 2009 Household income-to-poverty ratio Under 1.85
## 51 2009 Household income-to-poverty ratio 1.85 and over
## 52 2009 Household income-to-poverty ratio Income unknown
## 53 2009 Area of residence Inside metropolitan area
## 54 2009 Area of residence Inside metropolitan area
## 55 2009 Area of residence Inside metropolitan area
## 56 2009 Area of residence Outside metropolitan area
## 57 2009 Census geographic region Northeast
## 58 2009 Census geographic region Midwest
## 59 2009 Census geographic region South
## 60 2009 Census geographic region West
## 61 2010 All households
## 62 2010 Household composition With children < 18 years
## 63 2010 Household composition With children < 18 years
## 64 2010 Household composition With children < 18 years
## 65 2010 Household composition With children < 18 years
## 66 2010 Household composition With children < 18 years
## 67 2010 Household composition With children < 18 years
## 68 2010 Household composition With no children < 18 years
## 69 2010 Household composition With no children < 18 years
## 70 2010 Household composition With no children < 18 years
## 71 2010 Household composition With no children < 18 years
## 72 2010 Household composition With elderly
## 73 2010 Household composition With elderly
## 74 2010 Race/ethnicity of households White non-Hispanic
## 75 2010 Race/ethnicity of households Black non-Hispanic
## 76 2010 Race/ethnicity of households Hispanic
## 77 2010 Race/ethnicity of households Other
## 78 2010 Household income-to-poverty ratio Under 1.00
## 79 2010 Household income-to-poverty ratio Under 1.30
## 80 2010 Household income-to-poverty ratio Under 1.85
## 81 2010 Household income-to-poverty ratio 1.85 and over
## 82 2010 Household income-to-poverty ratio Income unknown
## 83 2010 Area of residence Inside metropolitan area
## 84 2010 Area of residence Inside metropolitan area
## 85 2010 Area of residence Inside metropolitan area
## 86 2010 Area of residence Outside metropolitan area
## 87 2010 Census geographic region Northeast
## 88 2010 Census geographic region Midwest
## 89 2010 Census geographic region South
## 90 2010 Census geographic region West
## 91 2011 All households
## 92 2011 Household composition With children < 18 years
## 93 2011 Household composition With children < 18 years
## 94 2011 Household composition With children < 18 years
## 95 2011 Household composition With children < 18 years
## 96 2011 Household composition With children < 18 years
## 97 2011 Household composition With children < 18 years
## 98 2011 Household composition With no children < 18 years
## 99 2011 Household composition With no children < 18 years
## 100 2011 Household composition With no children < 18 years
## 101 2011 Household composition With no children < 18 years
## 102 2011 Household composition With elderly
## 103 2011 Household composition With elderly
## 104 2011 Race/ethnicity of households White non-Hispanic
## 105 2011 Race/ethnicity of households Black non-Hispanic
## 106 2011 Race/ethnicity of households Hispanic
## 107 2011 Race/ethnicity of households Other
## 108 2011 Household income-to-poverty ratio Under 1.00
## 109 2011 Household income-to-poverty ratio Under 1.30
## 110 2011 Household income-to-poverty ratio Under 1.85
## 111 2011 Household income-to-poverty ratio 1.85 and over
## 112 2011 Household income-to-poverty ratio Income unknown
## 113 2011 Area of residence Inside metropolitan area
## 114 2011 Area of residence Inside metropolitan area
## 115 2011 Area of residence Inside metropolitan area
## 116 2011 Area of residence Outside metropolitan area
## 117 2011 Census geographic region Northeast
## 118 2011 Census geographic region Midwest
## 119 2011 Census geographic region South
## 120 2011 Census geographic region West
## 121 2012 All households
## 122 2012 Household composition With children < 18 years
## 123 2012 Household composition With children < 18 years
## 124 2012 Household composition With children < 18 years
## 125 2012 Household composition With children < 18 years
## 126 2012 Household composition With children < 18 years
## 127 2012 Household composition With children < 18 years
## 128 2012 Household composition With no children < 18 years
## 129 2012 Household composition With no children < 18 years
## 130 2012 Household composition With no children < 18 years
## 131 2012 Household composition With no children < 18 years
## 132 2012 Household composition With elderly
## 133 2012 Household composition With elderly
## 134 2012 Race/ethnicity of households White non-Hispanic
## 135 2012 Race/ethnicity of households Black non-Hispanic
## 136 2012 Race/ethnicity of households Hispanic
## 137 2012 Race/ethnicity of households Other
## 138 2012 Household income-to-poverty ratio Under 1.00
## 139 2012 Household income-to-poverty ratio Under 1.30
## 140 2012 Household income-to-poverty ratio Under 1.85
## 141 2012 Household income-to-poverty ratio 1.85 and over
## 142 2012 Household income-to-poverty ratio Income unknown
## 143 2012 Area of residence Inside metropolitan area
## 144 2012 Area of residence Inside metropolitan area
## 145 2012 Area of residence Inside metropolitan area
## 146 2012 Area of residence Outside metropolitan area
## 147 2012 Census geographic region Northeast
## 148 2012 Census geographic region Midwest
## 149 2012 Census geographic region South
## 150 2012 Census geographic region West
## 151 2013 All households
## 152 2013 Household composition With children < 18 years
## 153 2013 Household composition With children < 18 years
## 154 2013 Household composition With children < 18 years
## 155 2013 Household composition With children < 18 years
## 156 2013 Household composition With children < 18 years
## 157 2013 Household composition With children < 18 years
## 158 2013 Household composition With no children < 18 years
## 159 2013 Household composition With no children < 18 years
## 160 2013 Household composition With no children < 18 years
## 161 2013 Household composition With no children < 18 years
## 162 2013 Household composition With elderly
## 163 2013 Household composition With elderly
## 164 2013 Race/ethnicity of households White non-Hispanic
## 165 2013 Race/ethnicity of households Black non-Hispanic
## 166 2013 Race/ethnicity of households Hispanic
## 167 2013 Race/ethnicity of households Other
## 168 2013 Household income-to-poverty ratio Under 1.00
## 169 2013 Household income-to-poverty ratio Under 1.30
## 170 2013 Household income-to-poverty ratio Under 1.85
## 171 2013 Household income-to-poverty ratio 1.85 and over
## 172 2013 Household income-to-poverty ratio Income unknown
## 173 2013 Area of residence Inside metropolitan area
## 174 2013 Area of residence Inside metropolitan area
## 175 2013 Area of residence Inside metropolitan area
## 176 2013 Area of residence Outside metropolitan area
## 177 2013 Census geographic region Northeast
## 178 2013 Census geographic region Midwest
## 179 2013 Census geographic region South
## 180 2013 Census geographic region West
## 181 2014 All households
## 182 2014 Household composition With children < 18 years
## 183 2014 Household composition With children < 18 years
## 184 2014 Household composition With children < 18 years
## 185 2014 Household composition With children < 18 years
## 186 2014 Household composition With children < 18 years
## 187 2014 Household composition With children < 18 years
## 188 2014 Household composition With no children < 18 years
## 189 2014 Household composition With no children < 18 years
## 190 2014 Household composition With no children < 18 years
## 191 2014 Household composition With no children < 18 years
## 192 2014 Household composition With elderly
## 193 2014 Household composition With elderly
## 194 2014 Race/ethnicity of households White non-Hispanic
## 195 2014 Race/ethnicity of households Black non-Hispanic
## 196 2014 Race/ethnicity of households Hispanic
## 197 2014 Race/ethnicity of households Other
## 198 2014 Household income-to-poverty ratio Under 1.00
## 199 2014 Household income-to-poverty ratio Under 1.30
## 200 2014 Household income-to-poverty ratio Under 1.85
## 201 2014 Household income-to-poverty ratio 1.85 and over
## 202 2014 Household income-to-poverty ratio Income unknown
## 203 2014 Area of residence Inside metropolitan area
## 204 2014 Area of residence Inside metropolitan area
## 205 2014 Area of residence Inside metropolitan area
## 206 2014 Area of residence Outside metropolitan area
## 207 2014 Census geographic region Northeast
## 208 2014 Census geographic region Midwest
## 209 2014 Census geographic region South
## 210 2014 Census geographic region West
## 211 2015 All households
## 212 2015 Household composition With children < 18 years
## 213 2015 Household composition With children < 18 years
## 214 2015 Household composition With children < 18 years
## 215 2015 Household composition With children < 18 years
## 216 2015 Household composition With children < 18 years
## 217 2015 Household composition With children < 18 years
## 218 2015 Household composition With no children < 18 years
## 219 2015 Household composition With no children < 18 years
## 220 2015 Household composition With no children < 18 years
## 221 2015 Household composition With no children < 18 years
## 222 2015 Household composition With elderly
## 223 2015 Household composition With elderly
## 224 2015 Race/ethnicity of households White non-Hispanic
## 225 2015 Race/ethnicity of households Black non-Hispanic
## 226 2015 Race/ethnicity of households Hispanic
## 227 2015 Race/ethnicity of households Other
## 228 2015 Household income-to-poverty ratio Under 1.00
## 229 2015 Household income-to-poverty ratio Under 1.30
## 230 2015 Household income-to-poverty ratio Under 1.85
## 231 2015 Household income-to-poverty ratio 1.85 and over
## 232 2015 Household income-to-poverty ratio Income unknown
## 233 2015 Area of residence Inside metropolitan area
## 234 2015 Area of residence Inside metropolitan area
## 235 2015 Area of residence Inside metropolitan area
## 236 2015 Area of residence Outside metropolitan area
## 237 2015 Census geographic region Northeast
## 238 2015 Census geographic region Midwest
## 239 2015 Census geographic region South
## 240 2015 Census geographic region West
## 241 2016 All households
## 242 2016 Household composition With children < 18 years
## 243 2016 Household composition With children < 18 years
## 244 2016 Household composition With children < 18 years
## 245 2016 Household composition With children < 18 years
## 246 2016 Household composition With children < 18 years
## 247 2016 Household composition With children < 18 years
## 248 2016 Household composition With no children < 18 years
## 249 2016 Household composition With no children < 18 years
## 250 2016 Household composition With no children < 18 years
## 251 2016 Household composition With no children < 18 years
## 252 2016 Household composition With elderly
## 253 2016 Household composition With elderly
## 254 2016 Race/ethnicity of households White non-Hispanic
## 255 2016 Race/ethnicity of households Black non-Hispanic
## 256 2016 Race/ethnicity of households Hispanic
## 257 2016 Race/ethnicity of households Other
## 258 2016 Household income-to-poverty ratio Under 1.00
## 259 2016 Household income-to-poverty ratio Under 1.30
## 260 2016 Household income-to-poverty ratio Under 1.85
## 261 2016 Household income-to-poverty ratio 1.85 and over
## 262 2016 Household income-to-poverty ratio Income unknown
## 263 2016 Area of residence Inside metropolitan area
## 264 2016 Area of residence Inside metropolitan area
## 265 2016 Area of residence Inside metropolitan area
## 266 2016 Area of residence Outside metropolitan area
## 267 2016 Census geographic region Northeast
## 268 2016 Census geographic region Midwest
## 269 2016 Census geographic region South
## 270 2016 Census geographic region West
## 271 2017 All households
## 272 2017 Household composition With children < 18 years
## 273 2017 Household composition With children < 18 years
## 274 2017 Household composition With children < 18 years
## 275 2017 Household composition With children < 18 years
## 276 2017 Household composition With children < 18 years
## 277 2017 Household composition With children < 18 years
## 278 2017 Household composition With no children < 18 years
## 279 2017 Household composition With no children < 18 years
## 280 2017 Household composition With no children < 18 years
## 281 2017 Household composition With no children < 18 years
## 282 2017 Household composition With elderly
## 283 2017 Household composition With elderly
## 284 2017 Race/ethnicity of households White non-Hispanic
## 285 2017 Race/ethnicity of households Black non-Hispanic
## 286 2017 Race/ethnicity of households Hispanic
## 287 2017 Race/ethnicity of households Other
## 288 2017 Household income-to-poverty ratio Under 1.00
## 289 2017 Household income-to-poverty ratio Under 1.30
## 290 2017 Household income-to-poverty ratio Under 1.85
## 291 2017 Household income-to-poverty ratio 1.85 and over
## 292 2017 Household income-to-poverty ratio Income unknown
## 293 2017 Area of residence Inside metropolitan area
## 294 2017 Area of residence Inside metropolitan area
## 295 2017 Area of residence Inside metropolitan area
## 296 2017 Area of residence Outside metropolitan area
## 297 2017 Census geographic region Northeast
## 298 2017 Census geographic region Midwest
## 299 2017 Census geographic region South
## 300 2017 Census geographic region West
## 301 2018 All households
## 302 2018 Household composition With children < 18 years
## 303 2018 Household composition With children < 18 years
## 304 2018 Household composition With children < 18 years
## 305 2018 Household composition With children < 18 years
## 306 2018 Household composition With children < 18 years
## 307 2018 Household composition With children < 18 years
## 308 2018 Household composition With no children < 18 years
## 309 2018 Household composition With no children < 18 years
## 310 2018 Household composition With no children < 18 years
## 311 2018 Household composition With no children < 18 years
## 312 2018 Household composition With elderly
## 313 2018 Household composition With elderly
## 314 2018 Race/ethnicity of households White non-Hispanic
## 315 2018 Race/ethnicity of households Black non-Hispanic
## 316 2018 Race/ethnicity of households Hispanic
## 317 2018 Race/ethnicity of households Other
## 318 2018 Household income-to-poverty ratio Under 1.00
## 319 2018 Household income-to-poverty ratio Under 1.30
## 320 2018 Household income-to-poverty ratio Under 1.85
## 321 2018 Household income-to-poverty ratio 1.85 and over
## 322 2018 Household income-to-poverty ratio Income unknown
## 323 2018 Area of residence Inside metropolitan area
## 324 2018 Area of residence Inside metropolitan area
## 325 2018 Area of residence Inside metropolitan area
## 326 2018 Area of residence Outside metropolitan area
## 327 2018 Census geographic region Northeast
## 328 2018 Census geographic region Midwest
## 329 2018 Census geographic region South
## 330 2018 Census geographic region West
## 331 2019 All households
## 332 2019 Household composition With children < 18 years
## 333 2019 Household composition With children < 18 years
## 334 2019 Household composition With children < 18 years
## 335 2019 Household composition With children < 18 years
## 336 2019 Household composition With children < 18 years
## 337 2019 Household composition With children < 18 years
## 338 2019 Household composition With no children < 18 years
## 339 2019 Household composition With no children < 18 years
## 340 2019 Household composition With no children < 18 years
## 341 2019 Household composition With no children < 18 years
## 342 2019 Household composition With elderly
## 343 2019 Household composition With elderly
## 344 2019 Race/ethnicity of households White non-Hispanic
## 345 2019 Race/ethnicity of households Black non-Hispanic
## 346 2019 Race/ethnicity of households Hispanic
## 347 2019 Race/ethnicity of households Other
## 348 2019 Household income-to-poverty ratio Under 1.00
## 349 2019 Household income-to-poverty ratio Under 1.30
## 350 2019 Household income-to-poverty ratio Under 1.85
## 351 2019 Household income-to-poverty ratio 1.85 and over
## 352 2019 Household income-to-poverty ratio Income unknown
## 353 2019 Area of residence Inside metropolitan area
## 354 2019 Area of residence Inside metropolitan area
## 355 2019 Area of residence Inside metropolitan area
## 356 2019 Area of residence Outside metropolitan area
## 357 2019 Census geographic region Northeast
## 358 2019 Census geographic region Midwest
## 359 2019 Census geographic region South
## 360 2019 Census geographic region West
## 361 2020 All households
## 362 2020 Household composition With children < 18 years
## 363 2020 Household composition With children < 18 years
## 364 2020 Household composition With children < 18 years
## 365 2020 Household composition With children < 18 years
## 366 2020 Household composition With children < 18 years
## 367 2020 Household composition With children < 18 years
## 368 2020 Household composition With no children < 18 years
## 369 2020 Household composition With no children < 18 years
## 370 2020 Household composition With no children < 18 years
## 371 2020 Household composition With no children < 18 years
## 372 2020 Household composition With elderly
## 373 2020 Household composition With elderly
## 374 2020 Race/ethnicity of households White non-Hispanic
## 375 2020 Race/ethnicity of households Black non-Hispanic
## 376 2020 Race/ethnicity of households Hispanic
## 377 2020 Race/ethnicity of households Other
## 378 2020 Household income-to-poverty ratio Under 1.00
## 379 2020 Household income-to-poverty ratio Under 1.30
## 380 2020 Household income-to-poverty ratio Under 1.85
## 381 2020 Household income-to-poverty ratio 1.85 and over
## 382 2020 Household income-to-poverty ratio Income unknown
## 383 2020 Area of residence Inside metropolitan area
## 384 2020 Area of residence Inside metropolitan area
## 385 2020 Area of residence Inside metropolitan area
## 386 2020 Area of residence Outside metropolitan area
## 387 2020 Census geographic region Northeast
## 388 2020 Census geographic region Midwest
## 389 2020 Census geographic region South
## 390 2020 Census geographic region West
## 391 2021 All households
## 392 2021 Household composition With children < 18 years
## 393 2021 Household composition With children < 18 years
## 394 2021 Household composition With children < 18 years
## 395 2021 Household composition With children < 18 years
## 396 2021 Household composition With children < 18 years
## 397 2021 Household composition With children < 18 years
## 398 2021 Household composition With no children < 18 years
## 399 2021 Household composition With no children < 18 years
## 400 2021 Household composition With no children < 18 years
## 401 2021 Household composition With no children < 18 years
## 402 2021 Household composition With elderly
## 403 2021 Household composition With elderly
## 404 2021 Race/ethnicity of households White non-Hispanic
## 405 2021 Race/ethnicity of households Black non-Hispanic
## 406 2021 Race/ethnicity of households Hispanic
## 407 2021 Race/ethnicity of households Other
## 408 2021 Household income-to-poverty ratio Under 1.00
## 409 2021 Household income-to-poverty ratio Under 1.30
## 410 2021 Household income-to-poverty ratio Under 1.85
## 411 2021 Household income-to-poverty ratio 1.85 and over
## 412 2021 Household income-to-poverty ratio Income unknown
## 413 2021 Area of residence Inside metropolitan area
## 414 2021 Area of residence Inside metropolitan area
## 415 2021 Area of residence Inside metropolitan area
## 416 2021 Area of residence Outside metropolitan area
## 417 2021 Census geographic region Northeast
## 418 2021 Census geographic region Midwest
## 419 2021 Census geographic region South
## 420 2021 Census geographic region West
## 421 2022 All households
## 422 2022 Household composition With children < 18 years
## 423 2022 Household composition With children < 18 years
## 424 2022 Household composition With children < 18 years
## 425 2022 Household composition With children < 18 years
## 426 2022 Household composition With children < 18 years
## 427 2022 Household composition With children < 18 years
## 428 2022 Household composition With no children < 18 years
## 429 2022 Household composition With no children < 18 years
## 430 2022 Household composition With no children < 18 years
## 431 2022 Household composition With no children < 18 years
## 432 2022 Household composition With elderly
## 433 2022 Household composition With elderly
## 434 2022 Race/ethnicity of households White non-Hispanic
## 435 2022 Race/ethnicity of households Black non-Hispanic
## 436 2022 Race/ethnicity of households Hispanic
## 437 2022 Race/ethnicity of households Other
## 438 2022 Household income-to-poverty ratio Under 1.00
## 439 2022 Household income-to-poverty ratio Under 1.30
## 440 2022 Household income-to-poverty ratio Under 1.85
## 441 2022 Household income-to-poverty ratio 1.85 and over
## 442 2022 Household income-to-poverty ratio Income unknown
## 443 2022 Area of residence Inside metropolitan area
## 444 2022 Area of residence Inside metropolitan area
## 445 2022 Area of residence Inside metropolitan area
## 446 2022 Area of residence Outside metropolitan area
## 447 2022 Census geographic region Northeast
## 448 2022 Census geographic region Midwest
## 449 2022 Census geographic region South
## 450 2022 Census geographic region West
## Sub.subcategory Total Food.secure.1.000 Food.secure.percent
## 1 117565 100416 85.4
## 2 39699 31364 79.0
## 3 With children < 6 years 17503 13595 77.7
## 4 Married-couple families 26705 22887 85.7
## 5 Female head, no spouse 9639 6057 62.8
## 6 Male head, no spouse 2782 2013 72.4
## 7 Other household with child 572 405 70.8
## 8 77866 69052 88.7
## 9 More than one adult 45772 41610 90.9
## 10 Women living alone 17934 15266 85.1
## 11 Men living alone 14160 12177 86.0
## 12 28211 25927 91.9
## 13 Elderly living alone 11148 10168 91.2
## 14 82935 74041 89.3
## 15 14441 10732 74.3
## 16 13504 9873 73.1
## 17 6686 5772 86.3
## 18 13117 7576 57.8
## 19 20383 12427 61.0
## 20 29680 19622 66.1
## 21 70433 65038 92.3
## 22 17452 15755 90.3
## 23 98189 83790 85.3
## 24 In principal cities 32808 27006 82.3
## 25 Not in principal cities 48239 42125 87.3
## 26 19375 16625 85.8
## 27 21341 18616 87.2
## 28 26370 22671 86.0
## 29 43542 36621 84.1
## 30 26311 22507 85.5
## 31 118174 100820 85.3
## 32 39525 31114 78.7
## 33 With children < 6 years 17598 13566 77.1
## 34 Married-couple families 26334 22475 85.3
## 35 Female head, no spouse 9700 6146 63.4
## 36 Male head, no spouse 2883 2082 72.2
## 37 Other household with child 607 410 67.5
## 38 78649 69706 88.6
## 39 More than one adult 46677 42404 90.8
## 40 Women living alone 17662 15064 85.3
## 41 Men living alone 14310 12238 85.5
## 42 28912 26743 92.5
## 43 Elderly living alone 11300 10416 92.2
## 44 83259 74066 89.0
## 45 14519 10908 75.1
## 46 13566 9922 73.1
## 47 6830 5926 86.8
## 48 13193 7525 57.0
## 49 19913 12000 60.3
## 50 29454 19194 65.2
## 51 63983 59125 92.4
## 52 24738 22503 91.0
## 53 98336 83803 85.2
## 54 In principal cities 32690 27059 82.8
## 55 Not in principal cities 48698 42261 86.8
## 56 19838 17017 85.8
## 57 21403 18787 87.8
## 58 26512 22836 86.1
## 59 43842 36885 84.1
## 60 26417 22312 84.5
## 61 118756 101527 85.5
## 62 39419 31447 79.8
## 63 With children < 6 years 17780 13899 78.2
## 64 Married-couple families 25729 22179 86.2
## 65 Female head, no spouse 10081 6547 64.9
## 66 Male head, no spouse 2980 2223 74.6
## 67 Other household with child 629 498 79.2
## 68 79337 70080 88.3
## 69 More than one adult 47112 42468 90.1
## 70 Women living alone 17644 15218 86.3
## 71 Men living alone 14582 12394 85.0
## 72 29438 27102 92.1
## 73 Elderly living alone 11565 10640 92.0
## 74 83113 74117 89.2
## 75 14600 10941 74.9
## 76 14109 10416 73.8
## 77 6933 6052 87.3
## 78 15133 9056 59.8
## 79 20907 13039 62.4
## 80 30101 19940 66.2
## 81 62335 57710 92.6
## 82 26319 23876 90.7
## 83 98657 84379 85.5
## 84 In principal cities 32732 27171 83.0
## 85 Not in principal cities 49000 42831 87.4
## 86 20099 17147 85.3
## 87 21731 19036 87.6
## 88 26589 23062 86.7
## 89 44270 37203 84.0
## 90 26166 22226 84.9
## 91 119484 101631 85.1
## 92 38803 30814 79.4
## 93 With children < 6 years 17281 13494 78.1
## 94 Married-couple families 25421 21879 86.1
## 95 Female head, no spouse 9690 6124 63.2
## 96 Male head, no spouse 3055 2295 75.1
## 97 Other household with child 638 517 81.0
## 98 80681 70817 87.8
## 99 More than one adult 47863 43103 90.1
## 100 Women living alone 18021 15205 84.4
## 101 Men living alone 14796 12508 84.5
## 102 30099 27579 91.6
## 103 Elderly living alone 11402 10400 91.2
## 104 83304 73823 88.6
## 105 14765 11066 74.9
## 106 14410 10629 73.8
## 107 7005 6113 87.3
## 108 15557 9164 58.9
## 109 22168 13825 62.4
## 110 31437 20593 65.5
## 111 62244 57888 93.0
## 112 25802 23149 89.7
## 113 99835 84999 85.1
## 114 In principal cities 33515 27597 82.3
## 115 Not in principal cities 49253 42770 86.8
## 116 19649 16632 84.6
## 117 21650 18736 86.5
## 118 26359 22798 86.5
## 119 44772 37618 84.0
## 120 26703 22478 84.2
## 121 121546 103914 85.5
## 122 39201 31354 80.0
## 123 With children < 6 years 17325 13770 79.5
## 124 Married-couple families 25233 21907 86.8
## 125 Female head, no spouse 10373 6705 64.6
## 126 Male head, no spouse 3008 2299 76.4
## 127 Other household with child 587 443 75.5
## 128 82345 72560 88.1
## 129 More than one adult 49577 44726 90.2
## 130 Women living alone 17903 15162 84.7
## 131 Men living alone 14865 12673 85.3
## 132 31932 29122 91.2
## 133 Elderly living alone 11706 10643 90.9
## 134 83217 73914 88.8
## 135 14976 11287 75.4
## 136 15613 11982 76.7
## 137 7740 6730 87.0
## 138 15547 9196 59.1
## 139 21797 13472 61.8
## 140 31259 20534 65.7
## 141 64274 59882 93.2
## 142 26013 23497 90.3
## 143 101476 86961 85.7
## 144 In principal cities 33959 28214 83.1
## 145 Not in principal cities 50358 43957 87.3
## 146 20070 16953 84.5
## 147 21693 19102 88.1
## 148 27051 23222 85.8
## 149 45731 38404 84.0
## 150 27071 23186 85.6
## 151 122579 105070 85.7
## 152 38486 30979 80.5
## 153 With children < 6 years 16942 13405 79.1
## 154 Married-couple families 24896 21700 87.2
## 155 Female head, no spouse 10025 6577 65.6
## 156 Male head, no spouse 3025 2327 76.9
## 157 Other household with child 540 374 69.3
## 158 84093 74092 88.1
## 159 More than one adult 50145 45201 90.1
## 160 Women living alone 18686 15853 84.8
## 161 Men living alone 15263 13038 85.4
## 162 33244 30354 91.3
## 163 Elderly living alone 12341 11232 91.0
## 164 83496 74636 89.4
## 165 15311 11322 73.9
## 166 15648 11939 76.3
## 167 8124 7175 88.3
## 168 14819 8583 57.9
## 169 20715 12657 61.1
## 170 29809 19429 65.2
## 171 62985 58774 93.3
## 172 29786 26869 90.2
## 173 102936 88384 85.9
## 174 In principal cities 34425 28667 83.3
## 175 Not in principal cities 51077 44904 87.9
## 176 19643 16686 84.9
## 177 21894 19190 87.6
## 178 27097 23420 86.4
## 179 46256 38974 84.3
## 180 27331 23486 85.9
## 181 124044 106618 86.0
## 182 39079 31590 80.8
## 183 With children < 6 years 17211 13786 80.1
## 184 Married-couple families 25376 22226 87.6
## 185 Female head, no spouse 9912 6411 64.7
## 186 Male head, no spouse 3237 2533 78.3
## 187 Other household with child 554 419 75.6
## 188 84965 75029 88.3
## 189 More than one adult 50621 45731 90.3
## 190 Women living alone 19062 16149 84.7
## 191 Men living alone 15283 13150 86.0
## 192 34269 31230 91.1
## 193 Elderly living alone 12792 11608 90.7
## 194 84127 75335 89.5
## 195 15424 11393 73.9
## 196 16148 12527 77.6
## 197 8346 7365 88.2
## 198 15812 9560 60.5
## 199 20783 13009 62.6
## 200 31376 20790 66.3
## 201 64200 60153 93.7
## 202 28468 25676 90.2
## 203 104931 90781 86.5
## 204 In principal cities 35672 30085 84.3
## 205 Not in principal cities 51892 45779 88.2
## 206 19114 15839 82.9
## 207 22156 19209 86.7
## 208 27260 23489 86.2
## 209 46869 39803 84.9
## 210 27760 24119 86.9
## 211 125164 109315 87.3
## 212 38978 32519 83.4
## 213 With children < 6 years 16995 14129 83.1
## 214 Married-couple families 25232 22670 89.8
## 215 Female head, no spouse 10117 7052 69.7
## 216 Male head, no spouse 3133 2432 77.6
## 217 Other household with child 496 366 73.8
## 218 86187 76796 89.1
## 219 More than one adult 51357 46976 91.5
## 220 Women living alone 18954 16169 85.3
## 221 Men living alone 15876 13652 86.0
## 222 35265 32340 91.7
## 223 Elderly living alone 13137 11932 90.8
## 224 83931 75563 90.0
## 225 15734 12357 78.5
## 226 16803 13592 80.9
## 227 8695 7803 89.7
## 228 14070 8687 61.7
## 229 18917 11954 63.2
## 230 28994 19479 67.2
## 231 65319 61552 94.2
## 232 30851 28282 91.7
## 233 106990 93947 87.8
## 234 In principal cities 36809 31606 85.9
## 235 Not in principal cities 53585 48023 89.6
## 236 18175 15369 84.6
## 237 22300 19640 88.1
## 238 27199 23727 87.2
## 239 47389 41101 86.7
## 240 28277 24848 87.9
## 241 126401 110850 87.7
## 242 38400 32059 83.5
## 243 With children < 6 years 16571 13820 83.4
## 244 Married-couple families 25031 22560 90.1
## 245 Female head, no spouse 9780 6692 68.4
## 246 Male head, no spouse 3070 2403 78.3
## 247 Other household with child 519 404 77.8
## 248 88001 78792 89.5
## 249 More than one adult 52353 48162 92.0
## 250 Women living alone 19649 16910 86.1
## 251 Men living alone 15999 13719 85.7
## 252 36335 33496 92.2
## 253 Elderly living alone 13529 12326 91.1
## 254 84087 76271 90.7
## 255 15940 12346 77.5
## 256 17054 13907 81.5
## 257 9319 8325 89.3
## 258 13929 8598 61.7
## 259 18522 11917 64.3
## 260 29025 19860 68.4
## 261 67785 64001 94.4
## 262 29590 26988 91.2
## 263 108118 95315 88.2
## 264 In principal cities 37176 31879 85.8
## 265 Not in principal cities 54399 49222 90.5
## 266 18283 15535 85.0
## 267 22669 20217 89.2
## 268 27307 23976 87.8
## 269 47966 41476 86.5
## 270 28458 25180 88.5
## 271 127272 112254 88.2
## 272 37942 31976 84.3
## 273 With children < 6 years 16200 13551 83.6
## 274 Married-couple families 24744 22383 90.5
## 275 Female head, no spouse 9561 6663 69.7
## 276 Male head, no spouse 3057 2455 80.3
## 277 Other household with child 581 476 81.9
## 278 89330 80278 89.9
## 279 More than one adult 53107 48997 92.3
## 280 Women living alone 19963 17195 86.1
## 281 Men living alone 16260 14087 86.6
## 282 37805 34814 92.1
## 283 Elderly living alone 14312 13078 91.4
## 284 84548 77083 91.2
## 285 16358 12799 78.2
## 286 17197 14108 82.0
## 287 9169 8263 90.1
## 288 12871 8135 63.2
## 289 17271 11318 65.5
## 290 27012 18699 69.2
## 291 69442 65405 94.2
## 292 30818 28150 91.3
## 293 108977 96401 88.5
## 294 In principal cities 37365 32199 86.2
## 295 Not in principal cities 55330 50152 90.6
## 296 18295 15853 86.7
## 297 22520 20280 90.1
## 298 27581 24346 88.3
## 299 48281 41817 86.6
## 300 28890 25811 89.3
## 301 129245 114934 88.9
## 302 37612 32369 86.1
## 303 With children < 6 years 16306 13967 85.7
## 304 Married-couple families 24598 22558 91.7
## 305 Female head, no spouse 9349 6753 72.2
## 306 Male head, no spouse 3238 2722 84.1
## 307 Other household with child 427 337 78.9
## 308 91633 82565 90.1
## 309 More than one adult 54274 50222 92.5
## 310 Women living alone 20225 17352 85.8
## 311 Men living alone 17134 14991 87.5
## 312 39125 36191 92.5
## 313 Elderly living alone 14988 13652 91.1
## 314 84975 78106 91.9
## 315 16613 13087 78.8
## 316 18101 15164 83.8
## 317 9556 8577 89.8
## 318 12140 7855 64.7
## 319 17061 11419 66.9
## 320 26836 19033 70.9
## 321 70795 66964 94.6
## 322 31614 28937 91.5
## 323 111051 99053 89.2
## 324 In principal cities 37881 32877 86.8
## 325 Not in principal cities 55847 50855 91.1
## 326 18194 15882 87.3
## 327 22517 20227 89.8
## 328 27791 24781 89.2
## 329 49814 43829 88.0
## 330 29123 26098 89.6
## 331 129621 115959 89.5
## 332 37614 32480 86.4
## 333 With children < 6 years 16115 13783 85.5
## 334 Married-couple families 24382 22543 92.5
## 335 Female head, no spouse 9349 6663 71.3
## 336 Male head, no spouse 3311 2802 84.6
## 337 Other household with child 572 472 82.5
## 338 92007 83479 90.7
## 339 More than one adult 54420 50762 93.3
## 340 Women living alone 20886 18161 87.0
## 341 Men living alone 16701 14556 87.2
## 342 40220 37318 92.8
## 343 Elderly living alone 15329 13996 91.3
## 344 85196 78438 92.1
## 345 16504 13356 80.9
## 346 18035 15216 84.4
## 347 9886 8949 90.5
## 348 11208 7301 65.1
## 349 15848 10615 67.0
## 350 26604 19248 72.4
## 351 70457 66880 94.9
## 352 32560 29832 91.6
## 353 111547 100071 89.7
## 354 In principal cities 38411 33662 87.6
## 355 Not in principal cities 55517 50923 91.7
## 356 18073 15887 87.9
## 357 22293 20154 90.4
## 358 27894 24956 89.5
## 359 50136 44527 88.8
## 360 29298 26322 89.8
## 361 130459 116705 89.5
## 362 37903 32280 85.2
## 363 With children < 6 years 16119 13655 84.7
## 364 Married-couple families 24420 22091 90.5
## 365 Female head, no spouse 9774 7070 72.3
## 366 Male head, no spouse 3296 2758 83.7
## 367 Other household with child 413 362 87.7
## 368 92556 84425 91.2
## 369 More than one adult 54662 50775 92.9
## 370 Women living alone 20881 18579 89.0
## 371 Men living alone 17013 15072 88.6
## 372 41050 38218 93.1
## 373 Elderly living alone 15566 14280 91.7
## 374 85466 79387 92.9
## 375 16686 13058 78.3
## 376 18543 15359 82.8
## 377 9764 8903 91.2
## 378 10514 6800 64.7
## 379 16474 11021 66.9
## 380 25649 18305 71.4
## 381 70710 67263 95.1
## 382 34100 31138 91.3
## 383 112150 100523 89.6
## 384 In principal cities 38788 33875 87.3
## 385 Not in principal cities 56007 51059 91.2
## 386 18308 16181 88.4
## 387 22247 20177 90.7
## 388 27757 25114 90.5
## 389 50770 44536 87.7
## 390 29685 26878 90.5
## 391 132043 118533 89.8
## 392 36765 32170 87.5
## 393 With children < 6 years 15406 13418 87.1
## 394 Married-couple families 23849 22088 92.6
## 395 Female head, no spouse 9197 6965 75.7
## 396 Male head, no spouse 3194 2678 83.8
## 397 Other household with child 524 438 83.6
## 398 95278 86364 90.6
## 399 More than one adult 56113 52215 93.1
## 400 Women living alone 21641 18781 86.8
## 401 Men living alone 17524 15367 87.7
## 402 42501 39473 92.9
## 403 Elderly living alone 16056 14530 90.5
## 404 85866 79843 93.0
## 405 16951 13597 80.2
## 406 19082 15983 83.8
## 407 10144 9112 89.8
## 408 11920 8092 67.9
## 409 16994 11722 69.0
## 410 26506 19470 73.5
## 411 71721 68135 95.0
## 412 33816 30929 91.5
## 413 113842 102295 89.9
## 414 In principal cities 38360 33684 87.8
## 415 Not in principal cities 58118 53029 91.2
## 416 18201 16240 89.2
## 417 22516 20525 91.2
## 418 28301 25505 90.1
## 419 51183 45373 88.6
## 420 30044 27132 90.3
## 421 132730 115750 87.2
## 422 37235 30798 82.7
## 423 With children < 6 years 15551 12948 83.3
## 424 Married-couple families 24152 21572 89.3
## 425 Female head, no spouse 9207 6160 66.9
## 426 Male head, no spouse 3437 2708 78.8
## 427 Other household with child 439 358 81.5
## 428 95494 84951 89.0
## 429 More than one adult 55904 51110 91.4
## 430 Women living alone 21247 18037 84.9
## 431 Men living alone 18344 15805 86.2
## 432 42670 38775 90.9
## 433 Elderly living alone 16381 14509 88.6
## 434 85603 77682 90.7
## 435 17271 13406 77.6
## 436 19507 15453 79.2
## 437 10348 9208 89.0
## 438 12948 8193 63.3
## 439 18338 11891 64.8
## 440 27305 18563 68.0
## 441 76680 71500 93.2
## 442 28744 25685 89.4
## 443 114666 100347 87.5
## 444 In principal cities 38197 32359 84.7
## 445 Not in principal cities 59281 53079 89.5
## 446 18063 15401 85.3
## 447 22807 20161 88.4
## 448 28581 25050 87.6
## 449 51529 44058 85.5
## 450 29814 26481 88.8
## Food.insecure.1.000 Food.insecure.percent Low.food.security.1.000
## 1 17149 14.6 10426
## 2 8335 21.0 5718
## 3 3908 22.3 2818
## 4 3818 14.3 2735
## 5 3582 37.2 2296
## 6 769 27.6 569
## 7 167 29.2 118
## 8 8814 11.3 4708
## 9 4162 9.1 2409
## 10 2668 14.9 1284
## 11 1983 14.0 1015
## 12 2284 8.1 1402
## 13 980 8.8 552
## 14 8894 10.7 5154
## 15 3709 25.7 2251
## 16 3631 26.9 2439
## 17 914 13.7 582
## 18 5541 42.2 3014
## 19 7956 39.0 4403
## 20 10058 33.9 5731
## 21 5395 7.7 3595
## 22 1697 9.7 1101
## 23 14399 14.7 8757
## 24 5802 17.7 3634
## 25 6114 12.7 3650
## 26 2750 14.2 1669
## 27 2725 12.8 1610
## 28 3699 14.0 2254
## 29 6921 15.9 4216
## 30 3804 14.5 2346
## 31 17354 14.7 10601
## 32 8411 21.3 5812
## 33 4032 22.9 2896
## 34 3859 14.7 2818
## 35 3554 36.6 2300
## 36 801 27.8 561
## 37 197 32.5 133
## 38 8943 11.4 4789
## 39 4273 9.2 2443
## 40 2598 14.7 1288
## 41 2072 14.5 1058
## 42 2169 7.5 1416
## 43 884 7.8 536
## 44 9193 11.0 5394
## 45 3611 24.9 2259
## 46 3644 26.9 2388
## 47 904 13.2 559
## 48 5668 43.0 3221
## 49 7913 39.7 4520
## 50 10260 34.8 6020
## 51 4858 7.6 3161
## 52 2235 9.0 1420
## 53 14533 14.8 8843
## 54 5631 17.2 3417
## 55 6437 13.2 3912
## 56 2821 14.2 1757
## 57 2616 12.2 1591
## 58 3676 13.9 2251
## 59 6957 15.9 4228
## 60 4105 15.5 2531
## 61 17229 14.5 10872
## 62 7972 20.2 5724
## 63 3881 21.8 2850
## 64 3550 13.8 2636
## 65 3534 35.1 2450
## 66 757 25.4 558
## 67 131 20.8 81
## 68 9257 11.7 5148
## 69 4644 9.9 2781
## 70 2426 13.7 1329
## 71 2188 15.0 1038
## 72 2336 7.9 1563
## 73 925 8.0 551
## 74 8996 10.8 5512
## 75 3659 25.1 2332
## 76 3693 26.2 2507
## 77 881 12.7 521
## 78 6077 40.2 3584
## 79 7868 37.6 4757
## 80 10161 33.8 6232
## 81 4625 7.4 3092
## 82 2443 9.3 1548
## 83 14278 14.5 9015
## 84 5561 17.0 3491
## 85 6169 12.6 3902
## 86 2952 14.7 1858
## 87 2695 12.4 1665
## 88 3527 13.3 2153
## 89 7067 16.0 4591
## 90 3940 15.1 2463
## 91 17853 14.9 11014
## 92 7989 20.6 5750
## 93 3787 21.9 2884
## 94 3542 13.9 2671
## 95 3566 36.8 2452
## 96 760 24.9 532
## 97 121 19.0 96
## 98 9864 12.2 5264
## 99 4760 9.9 2778
## 100 2816 15.6 1387
## 101 2288 15.5 1099
## 102 2520 8.4 1589
## 103 1002 8.8 579
## 104 9481 11.4 5689
## 105 3699 25.1 2155
## 106 3781 26.2 2583
## 107 892 12.7 587
## 108 6393 41.1 3616
## 109 8343 37.6 4763
## 110 10844 34.5 6376
## 111 4356 7.0 2938
## 112 2653 10.3 1700
## 113 14836 14.9 9163
## 114 5918 17.7 3646
## 115 6483 13.2 4013
## 116 3017 15.4 1851
## 117 2914 13.5 1777
## 118 3561 13.5 2141
## 119 7154 16.0 4431
## 120 4225 15.8 2665
## 121 17632 14.5 10679
## 122 7847 20.0 5478
## 123 3555 20.5 2608
## 124 3326 13.2 2500
## 125 3668 35.4 2351
## 126 709 23.6 519
## 127 144 24.5 108
## 128 9785 11.9 5201
## 129 4851 9.8 2695
## 130 2741 15.3 1400
## 131 2192 14.7 1106
## 132 2810 8.8 1682
## 133 1063 9.1 595
## 134 9303 11.2 5452
## 135 3689 24.6 2136
## 136 3631 23.3 2469
## 137 1010 13.0 623
## 138 6351 40.9 3526
## 139 8325 38.2 4676
## 140 10725 34.3 6197
## 141 4392 6.8 2916
## 142 2516 9.7 1567
## 143 14515 14.3 8809
## 144 5745 16.9 3468
## 145 6401 12.7 3930
## 146 3117 15.5 1870
## 147 2591 11.9 1594
## 148 3829 14.2 2128
## 149 7327 16.0 4660
## 150 3885 14.4 2297
## 151 17509 14.3 10664
## 152 7507 19.5 5240
## 153 3537 20.9 2556
## 154 3196 12.8 2283
## 155 3448 34.4 2362
## 156 698 23.1 501
## 157 166 30.7 95
## 158 10001 11.9 5423
## 159 4944 9.9 2913
## 160 2833 15.2 1453
## 161 2225 14.6 1058
## 162 2890 8.7 1866
## 163 1109 9.0 657
## 164 8860 10.6 5033
## 165 3989 26.1 2442
## 166 3709 23.7 2660
## 167 949 11.7 528
## 168 6236 42.1 3489
## 169 8058 38.9 4589
## 170 10380 34.8 6089
## 171 4211 6.7 2784
## 172 2917 9.8 1790
## 173 14552 14.1 8857
## 174 5758 16.7 3593
## 175 6173 12.1 3721
## 176 2957 15.1 1807
## 177 2704 12.4 1636
## 178 3677 13.6 2198
## 179 7282 15.7 4421
## 180 3845 14.1 2408
## 181 17426 14.0 10488
## 182 7489 19.2 5147
## 183 3425 19.9 2457
## 184 3150 12.4 2346
## 185 3501 35.3 2230
## 186 704 21.7 476
## 187 135 24.4 96
## 188 9936 11.7 5340
## 189 4890 9.7 2772
## 190 2913 15.3 1541
## 191 2133 14.0 1027
## 192 3039 8.9 1941
## 193 1184 9.3 704
## 194 8792 10.5 4966
## 195 4031 26.1 2434
## 196 3621 22.4 2502
## 197 981 11.8 585
## 198 6252 39.5 3409
## 199 7774 37.4 4290
## 200 10586 33.7 6030
## 201 4047 6.3 2683
## 202 2792 9.8 1775
## 203 14150 13.5 8601
## 204 5587 15.7 3476
## 205 6113 11.8 3600
## 206 3275 17.1 1886
## 207 2947 13.3 1789
## 208 3771 13.8 2180
## 209 7066 15.1 4235
## 210 3641 13.1 2284
## 211 15849 12.7 9540
## 212 6459 16.6 4557
## 213 2866 16.9 2146
## 214 2562 10.2 1923
## 215 3065 30.3 2109
## 216 701 22.4 443
## 217 130 26.2 82
## 218 9391 10.9 4983
## 219 4381 8.5 2504
## 220 2785 14.7 1413
## 221 2224 14.0 1065
## 222 2925 8.3 1789
## 223 1205 9.2 657
## 224 8368 10.0 4759
## 225 3377 21.5 2127
## 226 3211 19.1 2132
## 227 892 10.3 521
## 228 5383 38.3 3006
## 229 6963 36.8 3966
## 230 9515 32.8 5572
## 231 3767 5.8 2376
## 232 2569 8.3 1593
## 233 13043 12.2 7843
## 234 5203 14.1 3240
## 235 5562 10.4 3304
## 236 2806 15.4 1697
## 237 2660 11.9 1616
## 238 3472 12.8 2069
## 239 6288 13.3 3750
## 240 3429 12.1 2105
## 241 15551 12.3 9413
## 242 6341 16.5 4501
## 243 2751 16.6 1923
## 244 2471 9.9 1843
## 245 3088 31.6 2061
## 246 667 21.7 509
## 247 115 22.2 NA
## 248 9209 10.5 4911
## 249 4191 8.0 2411
## 250 2739 13.9 1420
## 251 2280 14.3 1080
## 252 2839 7.8 1786
## 253 1203 8.9 733
## 254 7816 9.3 4591
## 255 3594 22.5 2048
## 256 3147 18.5 2152
## 257 994 10.7 622
## 258 5331 38.3 2920
## 259 6605 35.7 3725
## 260 9165 31.6 5319
## 261 3784 5.6 2499
## 262 2602 8.8 1595
## 263 12803 11.8 7868
## 264 5297 14.2 3117
## 265 5177 9.5 3286
## 266 2748 15.0 1545
## 267 2452 10.8 1594
## 268 3331 12.2 1871
## 269 6490 13.5 3890
## 270 3278 11.5 2057
## 271 15018 11.8 9261
## 272 5966 15.7 4421
## 273 2649 16.4 2008
## 274 2361 9.5 1876
## 275 2898 30.3 2038
## 276 602 19.7 429
## 277 105 18.1 <NA>
## 278 9052 10.1 4840
## 279 4110 7.7 2357
## 280 2768 13.9 1362
## 281 2173 13.4 1120
## 282 2991 7.9 1833
## 283 1234 8.6 710
## 284 7465 8.8 4389
## 285 3559 21.8 2164
## 286 3089 18.0 2137
## 287 906 9.9 572
## 288 4736 36.8 2641
## 289 5953 34.5 3387
## 290 8313 30.8 4901
## 291 4037 5.8 2783
## 292 2668 8.7 1577
## 293 12576 11.5 7807
## 294 5166 13.8 3132
## 295 5178 9.4 3204
## 296 2442 13.3 1454
## 297 2240 9.9 1486
## 298 3235 11.7 1909
## 299 6464 13.4 3995
## 300 3079 10.7 1871
## 301 14311 11.1 8730
## 302 5243 13.9 3750
## 303 2339 14.3 1720
## 304 2040 8.3 1633
## 305 2596 27.8 1715
## 306 516 15.9 346
## 307 90 21.1 <NA>
## 308 9068 9.9 4980
## 309 4052 7.5 2413
## 310 2873 14.2 1552
## 311 2143 12.5 1015
## 312 2934 7.5 1918
## 313 1336 8.9 824
## 314 6869 8.1 4109
## 315 3526 21.2 2021
## 316 2937 16.2 2018
## 317 979 10.2 582
## 318 4285 35.3 2356
## 319 5642 33.1 3186
## 320 7803 29.1 4584
## 321 3831 5.4 2517
## 322 2677 8.5 1629
## 323 11998 10.8 7299
## 324 5004 13.2 2984
## 325 4992 8.9 3083
## 326 2312 12.7 1430
## 327 2290 10.2 1341
## 328 3010 10.8 1914
## 329 5985 12.0 3582
## 330 3025 10.4 1892
## 331 13662 10.5 8340
## 332 5134 13.6 3677
## 333 2332 14.5 1736
## 334 1839 7.5 1494
## 335 2686 28.7 1790
## 336 509 15.4 313
## 337 100 17.5 <NA>
## 338 8528 9.3 4663
## 339 3658 6.7 2185
## 340 2725 13.0 1386
## 341 2145 12.8 1092
## 342 2902 7.2 1842
## 343 1333 8.7 801
## 344 6758 7.9 3966
## 345 3148 19.1 1891
## 346 2819 15.6 1937
## 347 937 9.5 546
## 348 3907 34.9 2167
## 349 5233 33.0 3002
## 350 7356 27.6 4384
## 351 3577 5.1 2387
## 352 2728 8.4 1569
## 353 11476 10.3 6990
## 354 4749 12.4 2875
## 355 4594 8.3 2867
## 356 2186 12.1 1350
## 357 2139 9.6 1303
## 358 2938 10.5 1778
## 359 5609 11.2 3352
## 360 2976 10.2 1907
## 361 13754 10.5 8613
## 362 5623 14.8 4166
## 363 2464 15.3 1927
## 364 2329 9.5 1869
## 365 2704 27.7 1905
## 366 538 16.3 357
## 367 51 12.3 <NA>
## 368 8131 8.8 4447
## 369 3887 7.1 2247
## 370 2302 11.0 1229
## 371 1941 11.4 970
## 372 2832 6.9 1797
## 373 1286 8.3 755
## 374 6079 7.1 3547
## 375 3628 21.7 2295
## 376 3184 17.2 2263
## 377 861 8.8 507
## 378 3714 35.3 2203
## 379 5453 33.1 3307
## 380 7344 28.6 4582
## 381 3447 4.9 2283
## 382 2962 8.7 1748
## 383 11627 10.4 7319
## 384 4913 12.7 2974
## 385 4948 8.8 3263
## 386 2127 11.6 1294
## 387 2070 9.3 1337
## 388 2643 9.5 1416
## 389 6234 12.3 4055
## 390 2807 9.5 1805
## 391 13510 10.2 8428
## 392 4595 12.5 3277
## 393 1988 12.9 1473
## 394 1761 7.4 1344
## 395 2232 24.3 1497
## 396 516 16.2 374
## 397 86 16.4 <NA>
## 398 8914 9.4 5150
## 399 3898 6.9 2458
## 400 2860 13.2 1568
## 401 2157 12.3 1125
## 402 3028 7.1 1858
## 403 1526 9.5 798
## 404 6023 7.0 3754
## 405 3354 19.8 2019
## 406 3099 16.2 2059
## 407 1032 10.2 595
## 408 3828 32.1 2187
## 409 5272 31.0 3127
## 410 7036 26.5 4320
## 411 3586 5.0 2328
## 412 2887 8.5 1779
## 413 11547 10.1 7219
## 414 4676 12.2 2899
## 415 5089 8.8 3228
## 416 1961 10.8 1208
## 417 1991 8.8 1263
## 418 2796 9.9 1737
## 419 5810 11.4 3605
## 420 2912 9.7 1822
## 421 16980 12.8 10187
## 422 6437 17.3 4404
## 423 2603 16.7 1769
## 424 2580 10.7 1965
## 425 3047 33.1 1890
## 426 729 21.2 488
## 427 81 18.5 <NA>
## 428 10543 11.0 5783
## 429 4794 8.6 2712
## 430 3210 15.1 1759
## 431 2539 13.8 1311
## 432 3895 9.1 2438
## 433 1872 11.4 1119
## 434 7921 9.3 4522
## 435 3865 22.4 2283
## 436 4054 20.8 2682
## 437 1140 11.0 700
## 438 4755 36.7 2592
## 439 6447 35.2 3583
## 440 8742 32.0 5044
## 441 5180 6.8 3343
## 442 3059 10.6 1801
## 443 14319 12.5 8592
## 444 5838 15.3 3495
## 445 6202 10.5 3703
## 446 2662 14.7 1595
## 447 2646 11.6 1661
## 448 3531 12.4 1963
## 449 7471 14.5 4536
## 450 3333 11.2 2027
## Low.food.security.percent Very.low.food.security.1.000
## 1 8.9 6723
## 2 14.4 2617
## 3 16.1 1090
## 4 10.2 1083
## 5 23.8 1286
## 6 20.5 200
## 7 20.6 49
## 8 6.0 4106
## 9 5.3 1753
## 10 7.2 1384
## 11 7.2 968
## 12 5.0 882
## 13 5.0 428
## 14 6.2 3740
## 15 15.6 1458
## 16 18.1 1192
## 17 8.7 332
## 18 23.0 2527
## 19 21.6 3553
## 20 19.3 4327
## 21 5.1 1800
## 22 6.3 596
## 23 8.9 5642
## 24 11.1 2168
## 25 7.6 2464
## 26 8.6 1081
## 27 7.5 1115
## 28 8.5 1445
## 29 9.7 2705
## 30 8.9 1458
## 31 9.0 6753
## 32 14.7 2599
## 33 16.5 1136
## 34 10.7 1041
## 35 23.7 1254
## 36 19.5 240
## 37 21.9 64
## 38 6.1 4154
## 39 5.2 1830
## 40 7.3 1310
## 41 7.4 1014
## 42 4.9 753
## 43 4.7 348
## 44 6.5 3799
## 45 15.6 1352
## 46 17.6 1256
## 47 8.2 345
## 48 24.4 2447
## 49 22.7 3393
## 50 20.4 4240
## 51 4.9 1697
## 52 5.7 815
## 53 9.0 5690
## 54 10.5 2214
## 55 8.0 2525
## 56 8.9 1064
## 57 7.4 1025
## 58 8.5 1425
## 59 9.6 2729
## 60 9.6 1574
## 61 9.2 6357
## 62 14.5 2248
## 63 16.0 1031
## 64 10.2 914
## 65 24.3 1084
## 66 18.7 199
## 67 12.9 50
## 68 6.5 4109
## 69 5.9 1863
## 70 7.5 1097
## 71 7.1 1150
## 72 5.3 773
## 73 4.8 374
## 74 6.6 3484
## 75 16.0 1327
## 76 17.8 1186
## 77 7.5 360
## 78 23.7 2493
## 79 22.8 3111
## 80 20.7 3929
## 81 5.0 1533
## 82 5.9 895
## 83 9.1 5263
## 84 10.7 2070
## 85 8.0 2267
## 86 9.2 1094
## 87 7.7 1030
## 88 8.1 1374
## 89 10.4 2476
## 90 9.4 1477
## 91 9.2 6839
## 92 14.8 2239
## 93 16.7 903
## 94 10.5 871
## 95 25.3 1114
## 96 17.4 228
## 97 15.0 25
## 98 6.5 4600
## 99 5.8 1982
## 100 7.7 1429
## 101 7.4 1189
## 102 5.3 931
## 103 5.1 423
## 104 6.8 3792
## 105 14.6 1544
## 106 17.9 1198
## 107 8.4 305
## 108 23.2 2777
## 109 21.5 3580
## 110 20.3 4468
## 111 4.7 1418
## 112 6.6 953
## 113 9.2 5673
## 114 10.9 2272
## 115 8.1 2470
## 116 9.4 1166
## 117 8.2 1137
## 118 8.1 1420
## 119 9.9 2723
## 120 10.0 1560
## 121 8.8 6953
## 122 14.0 2369
## 123 15.1 947
## 124 9.9 826
## 125 22.7 1317
## 126 17.3 190
## 127 18.4 36
## 128 6.3 4584
## 129 5.4 2156
## 130 7.8 1341
## 131 7.4 1086
## 132 5.3 1128
## 133 5.1 468
## 134 6.6 3851
## 135 14.3 1553
## 136 15.8 1162
## 137 8.0 387
## 138 22.7 2825
## 139 21.5 3649
## 140 19.8 4528
## 141 4.5 1476
## 142 6.0 949
## 143 8.7 5706
## 144 10.2 2277
## 145 7.8 2471
## 146 9.3 1247
## 147 7.3 997
## 148 7.9 1701
## 149 10.2 2667
## 150 8.5 1588
## 151 8.7 6845
## 152 13.6 2267
## 153 15.1 981
## 154 9.2 913
## 155 23.6 1086
## 156 16.6 197
## 157 17.6 71
## 158 6.4 4578
## 159 5.8 2031
## 160 7.8 1380
## 161 6.9 1167
## 162 5.6 1024
## 163 5.3 452
## 164 6.0 3827
## 165 15.9 1547
## 166 17.0 1049
## 167 6.5 421
## 168 23.5 2747
## 169 22.2 3469
## 170 20.4 4291
## 171 4.4 1427
## 172 6.0 1127
## 173 8.6 5695
## 174 10.4 2165
## 175 7.3 2452
## 176 9.2 1150
## 177 7.5 1068
## 178 8.1 1479
## 179 9.6 2861
## 180 8.8 1437
## 181 8.4 6938
## 182 13.2 2342
## 183 14.3 968
## 184 9.2 804
## 185 22.5 1271
## 186 14.7 228
## 187 17.3 39
## 188 6.3 4596
## 189 5.5 2118
## 190 8.1 1372
## 191 6.7 1106
## 192 5.7 1098
## 193 5.5 480
## 194 5.9 3826
## 195 15.8 1597
## 196 15.5 1119
## 197 7.0 396
## 198 21.6 2843
## 199 20.6 3484
## 200 19.2 4556
## 201 4.2 1364
## 202 6.2 1017
## 203 8.2 5549
## 204 9.7 2111
## 205 6.9 2513
## 206 9.9 1389
## 207 8.1 1158
## 208 8.0 1591
## 209 9.0 2831
## 210 8.2 1357
## 211 7.6 6309
## 212 11.7 1902
## 213 12.6 720
## 214 7.6 639
## 215 20.8 956
## 216 14.1 258
## 217 16.5 48
## 218 5.8 4408
## 219 4.9 1877
## 220 7.5 1372
## 221 6.7 1159
## 222 5.1 1136
## 223 5.0 548
## 224 5.7 3609
## 225 13.5 1250
## 226 12.7 1079
## 227 6.0 371
## 228 21.4 2377
## 229 21.0 2997
## 230 19.2 3943
## 231 3.6 1391
## 232 5.2 976
## 233 7.3 5200
## 234 8.8 1963
## 235 6.2 2258
## 236 9.3 1109
## 237 7.2 1044
## 238 7.6 1403
## 239 7.9 2538
## 240 7.4 1324
## 241 7.4 6138
## 242 11.7 1840
## 243 11.6 828
## 244 7.4 628
## 245 21.1 1027
## 246 16.6 158
## 247 NA NA
## 248 5.6 4298
## 249 4.6 1780
## 250 7.2 1319
## 251 6.8 1200
## 252 4.9 1053
## 253 5.4 470
## 254 5.5 3225
## 255 12.8 1546
## 256 12.7 995
## 257 6.7 372
## 258 21.0 2411
## 259 20.2 2880
## 260 18.3 3846
## 261 3.7 1285
## 262 5.4 1007
## 263 7.2 4935
## 264 8.3 2180
## 265 6.0 1891
## 266 8.4 1203
## 267 7.0 858
## 268 6.9 1460
## 269 8.1 2600
## 270 7.2 1221
## 271 7.3 5757
## 272 11.7 1545
## 273 12.4 641
## 274 7.6 485
## 275 21.3 860
## 276 14.0 173
## 277 NA <NA>
## 278 5.4 4212
## 279 4.4 1753
## 280 6.8 1406
## 281 6.9 1053
## 282 4.8 1158
## 283 5.0 524
## 284 5.2 3076
## 285 13.2 1395
## 286 12.4 952
## 287 6.2 334
## 288 20.5 2095
## 289 19.6 2566
## 290 18.1 3412
## 291 4.0 1254
## 292 5.1 1091
## 293 7.2 4769
## 294 8.4 2034
## 295 5.8 1974
## 296 7.9 988
## 297 6.6 754
## 298 6.9 1326
## 299 8.3 2469
## 300 6.5 1208
## 301 6.8 5581
## 302 9.9 1493
## 303 10.5 619
## 304 6.6 407
## 305 18.4 881
## 306 10.6 170
## 307 NA <NA>
## 308 5.4 4088
## 309 4.5 1639
## 310 7.7 1321
## 311 5.9 1128
## 312 4.9 1016
## 313 5.5 512
## 314 4.9 2760
## 315 12.1 1505
## 316 11.1 919
## 317 6.0 397
## 318 19.4 1929
## 319 18.7 2456
## 320 17.1 3219
## 321 3.5 1314
## 322 5.2 1048
## 323 6.6 4699
## 324 7.9 2020
## 325 5.5 1909
## 326 7.9 882
## 327 6.0 949
## 328 6.9 1096
## 329 7.2 2403
## 330 6.5 1133
## 331 6.4 5322
## 332 9.8 1457
## 333 10.8 596
## 334 6.1 345
## 335 19.1 896
## 336 9.5 196
## 337 NA <NA>
## 338 5.1 3865
## 339 4.0 1473
## 340 6.6 1339
## 341 6.5 1053
## 342 4.6 1060
## 343 5.2 532
## 344 4.7 2792
## 345 11.5 1257
## 346 10.7 882
## 347 5.5 391
## 348 19.3 1740
## 349 18.9 2231
## 350 16.5 2972
## 351 3.4 1190
## 352 4.8 1159
## 353 6.3 4486
## 354 7.5 1874
## 355 5.2 1727
## 356 7.5 836
## 357 5.8 836
## 358 6.4 1160
## 359 6.7 2257
## 360 6.5 1069
## 361 6.6 5141
## 362 11.0 1457
## 363 12.0 537
## 364 7.6 460
## 365 19.5 799
## 366 10.8 181
## 367 NA <NA>
## 368 4.8 3684
## 369 4.1 1640
## 370 5.9 1073
## 371 5.7 971
## 372 4.4 1035
## 373 4.9 531
## 374 4.1 2532
## 375 13.7 1333
## 376 12.2 921
## 377 5.2 354
## 378 20.9 1511
## 379 20.1 2146
## 380 17.8 2762
## 381 3.3 1164
## 382 5.1 1214
## 383 6.6 4308
## 384 7.7 1939
## 385 5.8 1685
## 386 7.1 833
## 387 6.0 733
## 388 5.1 1227
## 389 8.0 2179
## 390 6.1 1002
## 391 6.4 5082
## 392 8.9 1318
## 393 9.6 515
## 394 5.7 417
## 395 16.3 735
## 396 11.8 142
## 397 NA <NA>
## 398 5.4 3764
## 399 4.3 1440
## 400 7.2 1292
## 401 6.4 1032
## 402 4.3 1170
## 403 5.0 728
## 404 4.4 2269
## 405 11.9 1335
## 406 10.7 1040
## 407 5.9 437
## 408 18.3 1641
## 409 18.4 2145
## 410 16.3 2716
## 411 3.2 1258
## 412 5.2 1108
## 413 6.3 4328
## 414 7.6 1777
## 415 5.6 1861
## 416 6.7 753
## 417 5.6 728
## 418 6.2 1059
## 419 7.1 2205
## 420 6.1 1090
## 421 7.7 6793
## 422 11.8 2033
## 423 11.3 834
## 424 8.2 615
## 425 20.5 1157
## 426 14.2 241
## 427 NA NA
## 428 6.0 4760
## 429 4.9 2082
## 430 8.3 1451
## 431 7.1 1228
## 432 5.7 1457
## 433 6.8 753
## 434 5.3 3399
## 435 13.2 1582
## 436 13.8 1372
## 437 6.7 440
## 438 20.0 2163
## 439 19.6 2864
## 440 18.5 3698
## 441 4.4 1837
## 442 6.2 1258
## 443 7.5 5727
## 444 9.2 2343
## 445 6.3 2499
## 446 8.8 1067
## 447 7.3 985
## 448 6.9 1568
## 449 8.8 2935
## 450 6.8 1306
## Very.low.food.security.percent
## 1 5.7
## 2 6.6
## 3 6.2
## 4 4.1
## 5 13.3
## 6 7.2
## 7 8.6
## 8 5.3
## 9 3.8
## 10 7.7
## 11 6.8
## 12 3.1
## 13 3.8
## 14 4.5
## 15 10.1
## 16 8.8
## 17 5.0
## 18 19.3
## 19 17.4
## 20 14.6
## 21 2.6
## 22 3.4
## 23 5.7
## 24 6.6
## 25 5.1
## 26 5.6
## 27 5.2
## 28 5.5
## 29 6.2
## 30 5.5
## 31 5.7
## 32 6.6
## 33 6.5
## 34 4.0
## 35 12.9
## 36 8.3
## 37 10.5
## 38 5.3
## 39 3.9
## 40 7.4
## 41 7.1
## 42 2.6
## 43 3.1
## 44 4.6
## 45 9.3
## 46 9.3
## 47 5.1
## 48 18.5
## 49 17.0
## 50 14.4
## 51 2.7
## 52 3.3
## 53 5.8
## 54 6.8
## 55 5.2
## 56 5.4
## 57 4.8
## 58 5.4
## 59 6.2
## 60 6.0
## 61 5.4
## 62 5.7
## 63 5.8
## 64 3.6
## 65 10.8
## 66 6.7
## 67 7.9
## 68 5.2
## 69 4.0
## 70 6.2
## 71 7.9
## 72 2.6
## 73 3.2
## 74 4.2
## 75 9.1
## 76 8.4
## 77 5.2
## 78 16.5
## 79 14.9
## 80 13.1
## 81 2.5
## 82 3.4
## 83 5.3
## 84 6.3
## 85 4.6
## 86 5.4
## 87 4.7
## 88 5.2
## 89 5.6
## 90 5.6
## 91 5.7
## 92 5.8
## 93 5.2
## 94 3.4
## 95 11.5
## 96 7.5
## 97 3.9
## 98 5.7
## 99 4.1
## 100 7.9
## 101 8.0
## 102 3.1
## 103 3.7
## 104 4.6
## 105 10.5
## 106 8.3
## 107 4.4
## 108 17.9
## 109 16.1
## 110 14.2
## 111 2.3
## 112 3.7
## 113 5.7
## 114 6.8
## 115 5.0
## 116 5.9
## 117 5.3
## 118 5.4
## 119 6.1
## 120 5.8
## 121 5.7
## 122 6.0
## 123 5.5
## 124 3.3
## 125 12.7
## 126 6.3
## 127 6.1
## 128 5.6
## 129 4.3
## 130 7.5
## 131 7.3
## 132 3.5
## 133 4.0
## 134 4.6
## 135 10.4
## 136 7.4
## 137 5.0
## 138 18.2
## 139 16.7
## 140 14.5
## 141 2.3
## 142 3.6
## 143 5.6
## 144 6.7
## 145 4.9
## 146 6.2
## 147 4.6
## 148 6.3
## 149 5.8
## 150 5.9
## 151 5.6
## 152 5.9
## 153 5.8
## 154 3.7
## 155 10.8
## 156 6.5
## 157 13.1
## 158 5.4
## 159 4.1
## 160 7.4
## 161 7.6
## 162 3.1
## 163 3.7
## 164 4.6
## 165 10.1
## 166 6.7
## 167 5.2
## 168 18.5
## 169 16.7
## 170 14.4
## 171 2.3
## 172 3.8
## 173 5.5
## 174 6.3
## 175 4.8
## 176 5.9
## 177 4.9
## 178 5.5
## 179 6.2
## 180 5.3
## 181 5.6
## 182 6.0
## 183 5.6
## 184 3.2
## 185 12.8
## 186 7.0
## 187 7.0
## 188 5.4
## 189 4.2
## 190 7.2
## 191 7.2
## 192 3.2
## 193 3.8
## 194 4.5
## 195 10.4
## 196 6.9
## 197 4.7
## 198 18.0
## 199 16.8
## 200 14.5
## 201 2.1
## 202 3.6
## 203 5.3
## 204 5.9
## 205 4.8
## 206 7.3
## 207 5.2
## 208 5.8
## 209 6.0
## 210 4.9
## 211 5.0
## 212 4.9
## 213 4.2
## 214 2.5
## 215 9.4
## 216 8.2
## 217 9.7
## 218 5.1
## 219 3.7
## 220 7.2
## 221 7.3
## 222 3.2
## 223 4.2
## 224 4.3
## 225 7.9
## 226 6.4
## 227 4.3
## 228 16.9
## 229 15.8
## 230 13.6
## 231 2.1
## 232 3.2
## 233 4.9
## 234 5.3
## 235 4.2
## 236 6.1
## 237 4.7
## 238 5.2
## 239 5.4
## 240 4.7
## 241 4.9
## 242 4.8
## 243 5.0
## 244 2.5
## 245 10.5
## 246 5.1
## 247 NA
## 248 4.9
## 249 3.4
## 250 6.7
## 251 7.5
## 252 2.9
## 253 3.5
## 254 3.8
## 255 9.7
## 256 5.8
## 257 4.0
## 258 17.3
## 259 15.5
## 260 13.3
## 261 1.9
## 262 3.4
## 263 4.6
## 264 5.9
## 265 3.5
## 266 6.6
## 267 3.8
## 268 5.3
## 269 5.4
## 270 4.3
## 271 4.5
## 272 4.1
## 273 4.0
## 274 2.0
## 275 9.0
## 276 5.7
## 277 NA
## 278 4.7
## 279 3.3
## 280 7.0
## 281 6.5
## 282 3.1
## 283 3.7
## 284 3.6
## 285 8.5
## 286 5.5
## 287 3.6
## 288 16.3
## 289 14.9
## 290 12.6
## 291 1.8
## 292 3.5
## 293 4.4
## 294 5.4
## 295 3.6
## 296 5.4
## 297 3.3
## 298 4.8
## 299 5.1
## 300 4.2
## 301 4.3
## 302 4.0
## 303 3.8
## 304 1.7
## 305 9.4
## 306 5.3
## 307 NA
## 308 4.5
## 309 3.0
## 310 6.5
## 311 6.6
## 312 2.6
## 313 3.4
## 314 3.2
## 315 9.1
## 316 5.1
## 317 4.2
## 318 15.9
## 319 14.4
## 320 12.0
## 321 1.9
## 322 3.3
## 323 4.2
## 324 5.3
## 325 3.4
## 326 4.8
## 327 4.2
## 328 3.9
## 329 4.8
## 330 3.9
## 331 4.1
## 332 3.9
## 333 3.7
## 334 1.4
## 335 9.6
## 336 5.9
## 337 NA
## 338 4.2
## 339 2.7
## 340 6.4
## 341 6.3
## 342 2.6
## 343 3.5
## 344 3.3
## 345 7.6
## 346 4.9
## 347 4.0
## 348 15.5
## 349 14.1
## 350 11.2
## 351 1.7
## 352 3.6
## 353 4.0
## 354 4.9
## 355 3.1
## 356 4.6
## 357 3.8
## 358 4.2
## 359 4.5
## 360 3.6
## 361 3.9
## 362 3.8
## 363 3.3
## 364 1.9
## 365 8.2
## 366 5.5
## 367 NA
## 368 4.0
## 369 3.0
## 370 5.1
## 371 5.7
## 372 2.5
## 373 3.4
## 374 3.0
## 375 8.0
## 376 5.0
## 377 3.6
## 378 14.4
## 379 13.0
## 380 10.8
## 381 1.6
## 382 3.6
## 383 3.8
## 384 5.0
## 385 3.0
## 386 4.5
## 387 3.3
## 388 4.4
## 389 4.3
## 390 3.4
## 391 3.8
## 392 3.6
## 393 3.3
## 394 1.7
## 395 8.0
## 396 4.4
## 397 NA
## 398 4.0
## 399 2.6
## 400 6.0
## 401 5.9
## 402 2.8
## 403 4.5
## 404 2.6
## 405 7.9
## 406 5.5
## 407 4.3
## 408 13.8
## 409 12.6
## 410 10.2
## 411 1.8
## 412 3.3
## 413 3.8
## 414 4.6
## 415 3.2
## 416 4.1
## 417 3.2
## 418 3.7
## 419 4.3
## 420 3.6
## 421 5.1
## 422 5.5
## 423 5.4
## 424 2.5
## 425 12.6
## 426 7.0
## 427 NA
## 428 5.0
## 429 3.7
## 430 6.8
## 431 6.7
## 432 3.4
## 433 4.6
## 434 4.0
## 435 9.2
## 436 7.0
## 437 4.3
## 438 16.7
## 439 15.6
## 440 13.5
## 441 2.4
## 442 4.4
## 443 5.0
## 444 6.1
## 445 4.2
## 446 5.9
## 447 4.3
## 448 5.5
## 449 5.7
## 450 4.4foodsecurity_cat1 <- select(filter(foodsecurity_index, Category == 'All households'),c(Year, Food.secure.percent, Food.insecure.percent, Low.food.security.percent, Very.low.food.security.percent))
foodsecurity_cat1## Year Food.secure.percent Food.insecure.percent Low.food.security.percent
## 1 2008 85.4 14.6 8.9
## 2 2009 85.3 14.7 9.0
## 3 2010 85.5 14.5 9.2
## 4 2011 85.1 14.9 9.2
## 5 2012 85.5 14.5 8.8
## 6 2013 85.7 14.3 8.7
## 7 2014 86.0 14.0 8.4
## 8 2015 87.3 12.7 7.6
## 9 2016 87.7 12.3 7.4
## 10 2017 88.2 11.8 7.3
## 11 2018 88.9 11.1 6.8
## 12 2019 89.5 10.5 6.4
## 13 2020 89.5 10.5 6.6
## 14 2021 89.8 10.2 6.4
## 15 2022 87.2 12.8 7.7
## Very.low.food.security.percent
## 1 5.7
## 2 5.7
## 3 5.4
## 4 5.7
## 5 5.7
## 6 5.6
## 7 5.6
## 8 5.0
## 9 4.9
## 10 4.5
## 11 4.3
## 12 4.1
## 13 3.9
## 14 3.8
## 15 5.1str(foodsecurity_cat1)## 'data.frame': 15 obs. of 5 variables:
## $ Year : int 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 ...
## $ Food.secure.percent : num 85.4 85.3 85.5 85.1 85.5 85.7 86 87.3 87.7 88.2 ...
## $ Food.insecure.percent : num 14.6 14.7 14.5 14.9 14.5 14.3 14 12.7 12.3 11.8 ...
## $ Low.food.security.percent : num 8.9 9 9.2 9.2 8.8 8.7 8.4 7.6 7.4 7.3 ...
## $ Very.low.food.security.percent: num 5.7 5.7 5.4 5.7 5.7 5.6 5.6 5 4.9 4.5 ...library(plotly)## Warning: package 'plotly' was built under R version 4.2.3## Loading required package: ggplot2## Warning: package 'ggplot2' was built under R version 4.2.3##
## Attaching package: 'plotly'## The following object is masked from 'package:ggplot2':
##
## last_plot## The following object is masked from 'package:stats':
##
## filter## The following object is masked from 'package:graphics':
##
## layoutx <- foodsecurity_cat1$Year
y1 <- foodsecurity_cat1$Food.secure.percent
y2 <- foodsecurity_cat1$Food.insecure.percent
# Create hover text with year, Percent of Households
hover_text1 <- paste("Year: ", x, "<br>Percent of Households: ", y1)
hover_text2 <- paste("Year: ", x, "<br>Percent of Households: ", y2)
# Create the plotly figure
fig <- plot_ly(x = ~x, y = ~y1, type = 'scatter', mode = 'lines+markers', text = hover_text1, hoverinfo = 'text', line = list(color = 'rgb(192, 57, 79)'), name = "Total Food Security")%>%
add_trace(x = ~x, y = ~y2, type = 'scatter', mode = 'lines+markers', text = hover_text2, hoverinfo = 'text', line = list(color = 'rgb(57, 79, 192)'), name = "Total Food Insecurity")
# Layout adjustments
fig <- fig %>% layout(
xaxis = list(title = "Year", tickmode = "linear"),
yaxis = list(title = "Percent of Households", range = c(0, max(c(y1, y2)))),
margin = list(b = 100, l = 60, r = 160, t = 80), # Adjust margins for better visibility
height = 540, # Adjust the height of the graph
width = 810, # Adjust the width of the graph
legend = list(x = 1.1, y = .90) # Adjust the legend position
)## Warning: Specifying width/height in layout() is now deprecated.
## Please specify in ggplotly() or plot_ly()# Add HTML-based annotations for title and subtitle
fig <- fig %>% add_annotations(
text = "<b>FOOD SECURITY AND INSECURITY IN ALL HOUSEHOLDS IN THE U.S.</b>",
x = -0.07, xref = "paper",
y = 1.20, yref = "paper", # Adjust the y value to move the title higher
showarrow = FALSE,
font = list(size = 20),
align = "left"
)
fig <- fig %>% add_annotations(
text = "Trends in the prevalence of food security vs food insecurity in U.S. households, 2008–2022",
x = -0.07, xref = "paper",
y = 1.13, yref = "paper", # Adjust the y value to move the subtitle higher
showarrow = FALSE,
font = list(size = 14),
align = "left"
)
# Display the figure
figlibrary(plotly)
# Assuming 'foodsecurity_cat' is your dataframe
x <- foodsecurity_cat1$Year
y1 <- foodsecurity_cat1$Food.insecure.percent
y2 <- foodsecurity_cat1$Low.food.security.percent
y3 <- foodsecurity_cat1$Very.low.food.security.percent
# Create hover text with year, temperature, and rank
hover_text1 <- paste("Year: ", x, "<br>Percent of Households: ", y1)
hover_text2 <- paste("Year: ", x, "<br>Percent of Households: ", y2)
hover_text3 <- paste("Year: ", x, "<br>Percent of Households: ", y3)
# Create the plotly figure
fig <- plot_ly(x = ~x, y = ~y1, type = 'scatter', mode = 'lines+markers', text = hover_text1, hoverinfo = 'text', line = list(color = 'rgb(192, 57, 79)'), name = "Total Food Insecuruity") %>%
add_trace(x = ~x, y = ~y2, type = 'scatter', mode = 'lines+markers', text = hover_text2, hoverinfo = 'text', line = list(color = 'rgb(57, 79, 192)'), name = "Low Food Security") %>%
add_trace(x = ~x, y = ~y3, type = 'scatter', mode = 'lines+markers', text = hover_text3, hoverinfo = 'text', line = list(color = 'rgb(79, 192, 57)'), name = "Very Low Food Security")
# Layout adjustments
fig <- fig %>% layout(
xaxis = list(title = "Year", tickmode = "linear"),
yaxis = list(title = "Percent of Households", range = c(0, max(c(y1, y2, y3)))),
margin = list(b = 100, l = 60, r = 160, t = 80), # Adjust margins for better visibility
height = 540, # Adjust the height of the graph
width = 810, # Adjust the width of the graph
legend = list(x = 1.0, y = .80) # Adjust the legend position
)## Warning: Specifying width/height in layout() is now deprecated.
## Please specify in ggplotly() or plot_ly()# Add HTML-based annotations for title and subtitle
fig <- fig %>% add_annotations(
text = "<b>FOOD INSECURITY IN ALL U.S. HOUSEHOLDS</b>",
x = 0, xref = "paper",
y = 1.20, yref = "paper", # Adjust the y value to move the title higher
showarrow = FALSE,
font = list(size = 20),
align = "left"
)
fig <- fig %>% add_annotations(
text = "Trends in the prevalence of total food insecurity, which includes low food security and very low food<br>security in U.S. households, 2008–2022",
x = 0, xref = "paper",
y = 1.12, yref = "paper", # Adjust the y value to move the subtitle higher
showarrow = FALSE,
font = list(size = 14),
align = "left",
width = 800 # Set the width parameter to control text wrapping
)
# Display the figure
fig# Filter the data
foodsecurity_cat2 <- filter(foodsecurity_index, Category %in% c("All households", "Race/ethnicity of households"))
# Select the necessary columns
foodsecurity_cat2 <- select(foodsecurity_cat2, Year, Category, Subcategory, Food.insecure.percent, Very.low.food.security.percent)
# Print the resulting dataframe
foodsecurity_cat2## Year Category Subcategory Food.insecure.percent
## 1 2008 All households 14.6
## 2 2008 Race/ethnicity of households White non-Hispanic 10.7
## 3 2008 Race/ethnicity of households Black non-Hispanic 25.7
## 4 2008 Race/ethnicity of households Hispanic 26.9
## 5 2008 Race/ethnicity of households Other 13.7
## 6 2009 All households 14.7
## 7 2009 Race/ethnicity of households White non-Hispanic 11.0
## 8 2009 Race/ethnicity of households Black non-Hispanic 24.9
## 9 2009 Race/ethnicity of households Hispanic 26.9
## 10 2009 Race/ethnicity of households Other 13.2
## 11 2010 All households 14.5
## 12 2010 Race/ethnicity of households White non-Hispanic 10.8
## 13 2010 Race/ethnicity of households Black non-Hispanic 25.1
## 14 2010 Race/ethnicity of households Hispanic 26.2
## 15 2010 Race/ethnicity of households Other 12.7
## 16 2011 All households 14.9
## 17 2011 Race/ethnicity of households White non-Hispanic 11.4
## 18 2011 Race/ethnicity of households Black non-Hispanic 25.1
## 19 2011 Race/ethnicity of households Hispanic 26.2
## 20 2011 Race/ethnicity of households Other 12.7
## 21 2012 All households 14.5
## 22 2012 Race/ethnicity of households White non-Hispanic 11.2
## 23 2012 Race/ethnicity of households Black non-Hispanic 24.6
## 24 2012 Race/ethnicity of households Hispanic 23.3
## 25 2012 Race/ethnicity of households Other 13.0
## 26 2013 All households 14.3
## 27 2013 Race/ethnicity of households White non-Hispanic 10.6
## 28 2013 Race/ethnicity of households Black non-Hispanic 26.1
## 29 2013 Race/ethnicity of households Hispanic 23.7
## 30 2013 Race/ethnicity of households Other 11.7
## 31 2014 All households 14.0
## 32 2014 Race/ethnicity of households White non-Hispanic 10.5
## 33 2014 Race/ethnicity of households Black non-Hispanic 26.1
## 34 2014 Race/ethnicity of households Hispanic 22.4
## 35 2014 Race/ethnicity of households Other 11.8
## 36 2015 All households 12.7
## 37 2015 Race/ethnicity of households White non-Hispanic 10.0
## 38 2015 Race/ethnicity of households Black non-Hispanic 21.5
## 39 2015 Race/ethnicity of households Hispanic 19.1
## 40 2015 Race/ethnicity of households Other 10.3
## 41 2016 All households 12.3
## 42 2016 Race/ethnicity of households White non-Hispanic 9.3
## 43 2016 Race/ethnicity of households Black non-Hispanic 22.5
## 44 2016 Race/ethnicity of households Hispanic 18.5
## 45 2016 Race/ethnicity of households Other 10.7
## 46 2017 All households 11.8
## 47 2017 Race/ethnicity of households White non-Hispanic 8.8
## 48 2017 Race/ethnicity of households Black non-Hispanic 21.8
## 49 2017 Race/ethnicity of households Hispanic 18.0
## 50 2017 Race/ethnicity of households Other 9.9
## 51 2018 All households 11.1
## 52 2018 Race/ethnicity of households White non-Hispanic 8.1
## 53 2018 Race/ethnicity of households Black non-Hispanic 21.2
## 54 2018 Race/ethnicity of households Hispanic 16.2
## 55 2018 Race/ethnicity of households Other 10.2
## 56 2019 All households 10.5
## 57 2019 Race/ethnicity of households White non-Hispanic 7.9
## 58 2019 Race/ethnicity of households Black non-Hispanic 19.1
## 59 2019 Race/ethnicity of households Hispanic 15.6
## 60 2019 Race/ethnicity of households Other 9.5
## 61 2020 All households 10.5
## 62 2020 Race/ethnicity of households White non-Hispanic 7.1
## 63 2020 Race/ethnicity of households Black non-Hispanic 21.7
## 64 2020 Race/ethnicity of households Hispanic 17.2
## 65 2020 Race/ethnicity of households Other 8.8
## 66 2021 All households 10.2
## 67 2021 Race/ethnicity of households White non-Hispanic 7.0
## 68 2021 Race/ethnicity of households Black non-Hispanic 19.8
## 69 2021 Race/ethnicity of households Hispanic 16.2
## 70 2021 Race/ethnicity of households Other 10.2
## 71 2022 All households 12.8
## 72 2022 Race/ethnicity of households White non-Hispanic 9.3
## 73 2022 Race/ethnicity of households Black non-Hispanic 22.4
## 74 2022 Race/ethnicity of households Hispanic 20.8
## 75 2022 Race/ethnicity of households Other 11.0
## Very.low.food.security.percent
## 1 5.7
## 2 4.5
## 3 10.1
## 4 8.8
## 5 5.0
## 6 5.7
## 7 4.6
## 8 9.3
## 9 9.3
## 10 5.1
## 11 5.4
## 12 4.2
## 13 9.1
## 14 8.4
## 15 5.2
## 16 5.7
## 17 4.6
## 18 10.5
## 19 8.3
## 20 4.4
## 21 5.7
## 22 4.6
## 23 10.4
## 24 7.4
## 25 5.0
## 26 5.6
## 27 4.6
## 28 10.1
## 29 6.7
## 30 5.2
## 31 5.6
## 32 4.5
## 33 10.4
## 34 6.9
## 35 4.7
## 36 5.0
## 37 4.3
## 38 7.9
## 39 6.4
## 40 4.3
## 41 4.9
## 42 3.8
## 43 9.7
## 44 5.8
## 45 4.0
## 46 4.5
## 47 3.6
## 48 8.5
## 49 5.5
## 50 3.6
## 51 4.3
## 52 3.2
## 53 9.1
## 54 5.1
## 55 4.2
## 56 4.1
## 57 3.3
## 58 7.6
## 59 4.9
## 60 4.0
## 61 3.9
## 62 3.0
## 63 8.0
## 64 5.0
## 65 3.6
## 66 3.8
## 67 2.6
## 68 7.9
## 69 5.5
## 70 4.3
## 71 5.1
## 72 4.0
## 73 9.2
## 74 7.0
## 75 4.3foodsecurity_cat2 %>%
plot_ly(
x = ~Year,
y = ~Food.insecure.percent,
color = ~interaction(Category, Subcategory), # Use interaction to combine Category and Subcategory for distinct colors
type = 'scatter',
mode = 'lines+markers',
name = ~ifelse(Category == "All households", "All households", paste(Subcategory, sep = " - ")),
colors = c('black', rep(c('blue', 'green', 'purple', 'red'), each = 4)) # Set colors for each category and "All households"
) %>%
layout(
xaxis = list(title = "Year", tickmode = "linear"),
yaxis = list(title = "Food Insecure Percent"),
margin = list(b = 100, l = 60, r = 160, t = 80), # Adjust margins for better visibility
height = 540, # Adjust the height of the graph
width = 900, # Adjust the width of the graph
legend = list(x = .84, y = 1.08) # Adjust the legend position
) %>%
add_annotations(
text = "<b>FOOD INSECURITY BY RACE AND ETHNICITY IN THE U.S.</b>",
x = 0, xref = "paper",
y = 1.20, yref = "paper", # Adjust the y value to move the title higher
showarrow = FALSE,
font = list(size = 20),
align = "left"
) %>%
add_annotations(
text = "Trends in food insecurity by race and ethnicity, 2008–2022",
x = 0, xref = "paper",
y = 1.12, yref = "paper", # Adjust the y value to move the subtitle higher
showarrow = FALSE,
font = list(size = 14),
align = "left"
) %>%
config(modeBarButtonsToRemove = list('lasso2d', 'select2d')) # Optional: Remove unwanted plotly mode bar buttons## Warning: Specifying width/height in layout() is now deprecated.
## Please specify in ggplotly() or plot_ly()foodsecurity_cat2 %>%
plot_ly(
x = ~Year,
y = ~Very.low.food.security.percent,
color = ~interaction(Category, Subcategory), # Use interaction to combine Category and Subcategory for distinct colors
type = 'scatter',
mode = 'lines+markers',
name = ~ifelse(Category == "All households", "All households", paste(Subcategory, sep = " - ")),
colors = c('black', rep(c('blue', 'green', 'purple', 'red'), each = 4)) # Set colors for each category and "All households"
) %>%
layout(
xaxis = list(title = "Year", tickmode = "linear"),
yaxis = list(title = "Food Insecure Percent"),
margin = list(b = 100, l = 60, r = 160, t = 80), # Adjust margins for better visibility
height = 540, # Adjust the height of the graph
width = 900, # Adjust the width of the graph
legend = list(x = .80, y = 1.10) # Adjust the legend position
) %>%
add_annotations(
text = "<b>VERY LOW FOOD SECURITY BY RACE AND ETHNICITY IN THE U.S.</b>",
x = 0, xref = "paper",
y = 1.20, yref = "paper", # Adjust the y value to move the title higher
showarrow = FALSE,
font = list(size = 20),
align = "left"
) %>%
add_annotations(
text = "Trends in very low food security by race and ethnicity, 2008–2022",
x = 0, xref = "paper",
y = 1.12, yref = "paper", # Adjust the y value to move the subtitle higher
showarrow = FALSE,
font = list(size = 14),
align = "left"
) %>%
config(modeBarButtonsToRemove = list('lasso2d', 'select2d')) # Optional: Remove unwanted plotly mode bar buttons## Warning: Specifying width/height in layout() is now deprecated.
## Please specify in ggplotly() or plot_ly()# Filter the data
#foodsecurity_cat3 <- filter(foodsecurity_index, Category %in% c("Household composition"))
# Select the necessary columns
#foodsecurity_cat3 <- select(foodsecurity_cat3, Year, Category, Subcategory, Food.insecure.percent, Very.low.food.security.percent)
# Print the resulting dataframe
#foodsecurity_cat3foodsecurity2 = read.csv("https://raw.githubusercontent.com/enidroman/Data_608_Knowledge_and_Visual_Analytics/main/foodsecurity_HH_with_children_2008_to_2022.csv")
foodsecurity2## Year Category Subcategory Total
## 1 2008 All households with children 39,699
## 2 2008 Household composition With children < 6 years 17,503
## 3 2008 Household composition Married-couple families 26,705
## 4 2008 Household composition Female head, no spouse 9,639
## 5 2008 Household composition Male head, no spouse 2,782
## 6 2008 Household composition Other household with child 572
## 7 2008 Race/ethnicity of households White non-Hispanic 24,237
## 8 2008 Race/ethnicity of households Black non-Hispanic 5,613
## 9 2008 Race/ethnicity of households Hispanic 7,294
## 10 2008 Race/ethnicity of households Other 2,554
## 11 2008 Household income-to-poverty ratio Under 1.00 5,975
## 12 2008 Household income-to-poverty ratio Under 1.30 9,229
## 13 2008 Household income-to-poverty ratio Under 1.85 12,586
## 14 2008 Household income-to-poverty ratio 1.85 and over 22,245
## 15 2008 Household income-to-poverty ratio Income unknown 4,867
## 16 2008 Inside metropolitan area 33,592
## 17 2008 Inside metropolitan area In principal cities 10,614
## 18 2008 Inside metropolitan area Not in principal cities 17,288
## 19 2008 Outside metropolitan area 6,107
## 20 2008 Census geographic region Northeast 7,132
## 21 2008 Census geographic region Midwest 8,773
## 22 2008 Census geographic region South 14,393
## 23 2008 Census geographic region West 9,400
## 24 2009 All households with children 39,525
## 25 2009 Household composition With children < 6 years 17,598
## 26 2009 Household composition Married-couple families 26,334
## 27 2009 Household composition Female head, no spouse 9,700
## 28 2009 Household composition Male head, no spouse 2,883
## 29 2009 Household composition Other household with child 607
## 30 2009 Race/ethnicity of households White non-Hispanic 24,065
## 31 2009 Race/ethnicity of households Black non-Hispanic 5,622
## 32 2009 Race/ethnicity of households Hispanic 7,166
## 33 2009 Race/ethnicity of households Other 2,673
## 34 2009 Household income-to-poverty ratio Under 1.00 6,233
## 35 2009 Household income-to-poverty ratio Under 1.30 8,880
## 36 2009 Household income-to-poverty ratio Under 1.85 12,553
## 37 2009 Household income-to-poverty ratio 1.85 and over 20,071
## 38 2009 Household income-to-poverty ratio Income unknown 6,901
## 39 2009 Inside metropolitan area 33,314
## 40 2009 Inside metropolitan area In principal cities 10,272
## 41 2009 Inside metropolitan area Not in principal cities 17,479
## 42 2009 Outside metropolitan area 6,211
## 43 2009 Census geographic region Northeast 6,947
## 44 2009 Census geographic region Midwest 8,516
## 45 2009 Census geographic region South 14,661
## 46 2009 Census geographic region West 9,402
## 47 2010 All households with children 39,419
## 48 2010 Household composition With children < 6 years 17,780
## 49 2010 Household composition Married-couple families 25,729
## 50 2010 Household composition Female head, no spouse 10,081
## 51 2010 Household composition Male head, no spouse 2,980
## 52 2010 Household composition Other household with child 629
## 53 2010 Race/ethnicity of households White non-Hispanic 23,632
## 54 2010 Race/ethnicity of households Black non-Hispanic 5,549
## 55 2010 Race/ethnicity of households Hispanic 7,463
## 56 2010 Race/ethnicity of households Other 2,775
## 57 2010 Household income-to-poverty ratio Under 1.00 7,043
## 58 2010 Household income-to-poverty ratio Under 1.30 9,791
## 59 2010 Household income-to-poverty ratio Under 1.85 13,214
## 60 2010 Household income-to-poverty ratio 1.85 and over 19,056
## 61 2010 Household income-to-poverty ratio Income unknown 7,149
## 62 2010 Inside metropolitan area 33,293
## 63 2010 Inside metropolitan area In principal cities 10,418
## 64 2010 Inside metropolitan area Not in principal cities 17,332
## 65 2010 Outside metropolitan area 6,126
## 66 2010 Census geographic region Northeast 6,726
## 67 2010 Census geographic region Midwest 8,359
## 68 2010 Census geographic region South 14,938
## 69 2010 Census geographic region West 9,396
## 70 2011 All households with children 38,803
## 71 2011 Household composition With children < 6 years 17,281
## 72 2011 Household composition Married-couple families 25,421
## 73 2011 Household composition Female head, no spouse 9,690
## 74 2011 Household composition Male head, no spouse 3,055
## 75 2011 Household composition Other household with child 638
## 76 2011 Race/ethnicity of households White non-Hispanic 23,274
## 77 2011 Race/ethnicity of households Black non-Hispanic 5,284
## 78 2011 Race/ethnicity of households Hispanic 7,447
## 79 2011 Race/ethnicity of households Other 2,799
## 80 2011 Household income-to-poverty ratio Under 1.00 7,090
## 81 2011 Household income-to-poverty ratio Under 1.30 9,278
## 82 2011 Household income-to-poverty ratio Under 1.85 13,086
## 83 2011 Household income-to-poverty ratio 1.85 and over 18,986
## 84 2011 Household income-to-poverty ratio Income unknown 6,731
## 85 2011 Inside metropolitan area 32,915
## 86 2011 Inside metropolitan area In principal cities 10,400
## 87 2011 Inside metropolitan area Not in principal cities 17,066
## 88 2011 Outside metropolitan area 5,888
## 89 2011 Census geographic region Northeast 6,797
## 90 2011 Census geographic region Midwest 8,262
## 91 2011 Census geographic region South 14,454
## 92 2011 Census geographic region West 9,290
## 93 2012 All households with children 39,201
## 94 2012 Household composition With children < 6 years 17,325
## 95 2012 Household composition Married-couple families 25,233
## 96 2012 Household composition Female head, no spouse 10,373
## 97 2012 Household composition Male head, no spouse 3,008
## 98 2012 Household composition Other household with child 587
## 99 2012 Race/ethnicity of households White non-Hispanic 22,951
## 100 2012 Race/ethnicity of households Black non-Hispanic 5,230
## 101 2012 Race/ethnicity of households Hispanic 8,071
## 102 2012 Race/ethnicity of households Other 2,948
## 103 2012 Household income-to-poverty ratio Under 1.00 7,056
## 104 2012 Household income-to-poverty ratio Under 1.30 9,326
## 105 2012 Household income-to-poverty ratio Under 1.85 13,332
## 106 2012 Household income-to-poverty ratio 1.85 and over 18,934
## 107 2012 Household income-to-poverty ratio Income unknown 6,936
## 108 2012 Inside metropolitan area 33,223
## 109 2012 Inside metropolitan area In principal cities 10,681
## 110 2012 Inside metropolitan area Not in principal cities 17,199
## 111 2012 Outside metropolitan area 5,978
## 112 2012 Census geographic region Northeast 6,513
## 113 2012 Census geographic region Midwest 8,258
## 114 2012 Census geographic region South 15,039
## 115 2012 Census geographic region West 9,392
## 116 2013 All households with children 38,486
## 117 2013 Household composition With children < 6 years 16,942
## 118 2013 Household composition Married-couple families 24,896
## 119 2013 Household composition Female head, no spouse 10,025
## 120 2013 Household composition Male head, no spouse 3,025
## 121 2013 Household composition Other household with child 540
## 122 2013 Race/ethnicity of households White non-Hispanic 22,279
## 123 2013 Race/ethnicity of households Black non-Hispanic 5,227
## 124 2013 Race/ethnicity of households Hispanic 7,746
## 125 2013 Race/ethnicity of households Other 3,234
## 126 2013 Household income-to-poverty ratio Under 1.00 6,615
## 127 2013 Household income-to-poverty ratio Under 1.30 8,636
## 128 2013 Household income-to-poverty ratio Under 1.85 12,267
## 129 2013 Household income-to-poverty ratio 1.85 and over 18,501
## 130 2013 Household income-to-poverty ratio Income unknown 7,718
## 131 2013 Inside metropolitan area 32,755
## 132 2013 Inside metropolitan area In principal cities 10,560
## 133 2013 Inside metropolitan area Not in principal cities 16,895
## 134 2013 Outside metropolitan area 5,730
## 135 2013 Census geographic region Northeast 6,524
## 136 2013 Census geographic region Midwest 8,311
## 137 2013 Census geographic region South 14,641
## 138 2013 Census geographic region West 9,009
## 139 2014 All households with children 39,079
## 140 2014 Household composition With children < 6 years 17,211
## 141 2014 Household composition Married-couple families 25,376
## 142 2014 Household composition Female head, no spouse 9,912
## 143 2014 Household composition Male head, no spouse 3,237
## 144 2014 Household composition Other household with child 554
## 145 2014 Race/ethnicity of households White non-Hispanic 22,477
## 146 2014 Race/ethnicity of households Black non-Hispanic 5,274
## 147 2014 Race/ethnicity of households Hispanic 7,974
## 148 2014 Race/ethnicity of households Other 3,354
## 149 2014 Household income-to-poverty ratio Under 1.00 6,638
## 150 2014 Household income-to-poverty ratio Under 1.30 8,580
## 151 2014 Household income-to-poverty ratio Under 1.85 12,666
## 152 2014 Household income-to-poverty ratio 1.85 and over 18,912
## 153 2014 Household income-to-poverty ratio Income unknown 7,502
## 154 2014 Inside metropolitan area 33,368
## 155 2014 Inside metropolitan area In principal cities 10,693
## 156 2014 Inside metropolitan area Not in principal cities 17,401
## 157 2014 Outside metropolitan area 5,711
## 158 2014 Census geographic region Northeast 6,614
## 159 2014 Census geographic region Midwest 8,201
## 160 2014 Census geographic region South 14,985
## 161 2014 Census geographic region West 9,279
## 162 2015 All households with children 38,978
## 163 2015 Household composition With children < 6 years 16,995
## 164 2015 Household composition Married-couple families 25,232
## 165 2015 Household composition Female head, no spouse 10,117
## 166 2015 Household composition Male head, no spouse 3,133
## 167 2015 Household composition Other household with child 496
## 168 2015 Race/ethnicity of households White non-Hispanic 22,237
## 169 2015 Race/ethnicity of households Black non-Hispanic 5,223
## 170 2015 Race/ethnicity of households Hispanic 8,299
## 171 2015 Race/ethnicity of households Other 3,218
## 172 2015 Household income-to-poverty ratio Under 1.00 5,889
## 173 2015 Household income-to-poverty ratio Under 1.30 7,827
## 174 2015 Household income-to-poverty ratio Under 1.85 11,510
## 175 2015 Household income-to-poverty ratio 1.85 and over 19,232
## 176 2015 Household income-to-poverty ratio Income unknown 8,235
## 177 2015 Inside metropolitan area 33,440
## 178 2015 Inside metropolitan area In principal cities 10,875
## 179 2015 Inside metropolitan area Not in principal cities 17,662
## 180 2015 Outside metropolitan area 5,538
## 181 2015 Census geographic region Northeast 6,409
## 182 2015 Census geographic region Midwest 8,158
## 183 2015 Census geographic region South 14,907
## 184 2015 Census geographic region West 9,503
## 185 2016 All households with children 38,400
## 186 2016 Household composition With children < 6 years 16,571
## 187 2016 Household composition Married-couple families 25,031
## 188 2016 Household composition Female head, no spouse 9,780
## 189 2016 Household composition Male head, no spouse 3,070
## 190 2016 Household composition Other household with child 519
## 191 2016 Race/ethnicity of households White non-Hispanic 21,574
## 192 2016 Race/ethnicity of households Black non-Hispanic 4,995
## 193 2016 Race/ethnicity of households Hispanic 8,319
## 194 2016 Race/ethnicity of households Other 3,512
## 195 2016 Household income-to-poverty ratio Under 1.00 5,533
## 196 2016 Household income-to-poverty ratio Under 1.30 7,467
## 197 2016 Household income-to-poverty ratio Under 1.85 11,657
## 198 2016 Household income-to-poverty ratio 1.85 and over 19,477
## 199 2016 Household income-to-poverty ratio Income unknown 7,265
## 200 2016 Inside metropolitan area 33,390
## 201 2016 Inside metropolitan area In principal cities 10,855
## 202 2016 Inside metropolitan area Not in principal cities 17,672
## 203 2016 Outside metropolitan area 5,009
## 204 2016 Census geographic region Northeast 6,370
## 205 2016 Census geographic region Midwest 7,888
## 206 2016 Census geographic region South 14,687
## 207 2016 Census geographic region West 9,454
## 208 2017 All households with children 37,942
## 209 2017 Household composition With children < 6 years 16,200
## 210 2017 Household composition Married-couple families 24,744
## 211 2017 Household composition Female head, no spouse 9,561
## 212 2017 Household composition Male head, no spouse 3,057
## 213 2017 Household composition Other household with child 581
## 214 2017 Race/ethnicity of households White non-Hispanic 21,451
## 215 2017 Race/ethnicity of households Black non-Hispanic 5,065
## 216 2017 Race/ethnicity of households Hispanic 8,101
## 217 2017 Race/ethnicity of households Other 3,325
## 218 2017 Household income-to-poverty ratio Under 1.00 4,940
## 219 2017 Household income-to-poverty ratio Under 1.30 6,779
## 220 2017 Household income-to-poverty ratio Under 1.85 10,744
## 221 2017 Household income-to-poverty ratio 1.85 and over 19,646
## 222 2017 Household income-to-poverty ratio Income unknown 7,553
## 223 2017 Inside metropolitan area 32,902
## 224 2017 Inside metropolitan area In principal cities 10,401
## 225 2017 Inside metropolitan area Not in principal cities 17,770
## 226 2017 Outside metropolitan area 5,041
## 227 2017 Census geographic region Northeast 6,291
## 228 2017 Census geographic region Midwest 7,917
## 229 2017 Census geographic region South 14,427
## 230 2017 Census geographic region West 9,308
## 231 2018 All households with children 37,612
## 232 2018 Household composition With children < 6 years 16,306
## 233 2018 Household composition Married-couple families 24,598
## 234 2018 Household composition Female head, no spouse 9,349
## 235 2018 Household composition Male head, no spouse 3,238
## 236 2018 Household composition Other household with child 427
## 237 2018 Race/ethnicity of households White non-Hispanic 21,059
## 238 2018 Race/ethnicity of households Black non-Hispanic 5,136
## 239 2018 Race/ethnicity of households Hispanic 8,108
## 240 2018 Race/ethnicity of households Other 3,310
## 241 2018 Household income-to-poverty ratio Under 1.00 4,426
## 242 2018 Household income-to-poverty ratio Under 1.30 6,911
## 243 2018 Household income-to-poverty ratio Under 1.85 9,940
## 244 2018 Household income-to-poverty ratio 1.85 and over 19,820
## 245 2018 Household income-to-poverty ratio Income unknown 7,852
## 246 2018 Inside metropolitan area 32,534
## 247 2018 Inside metropolitan area In principal cities 10,281
## 248 2018 Inside metropolitan area Not in principal cities 17,562
## 249 2018 Outside metropolitan area 5,079
## 250 2018 Census geographic region Northeast 6,057
## 251 2018 Census geographic region Midwest 7,901
## 252 2018 Census geographic region South 14,561
## 253 2018 Census geographic region West 9,093
## 254 2019 All households with children 37,614
## 255 2019 Household composition With children < 6 years 16,115
## 256 2019 Household composition Married-couple families 24,382
## 257 2019 Household composition Female head, no spouse 9,349
## 258 2019 Household composition Male head, no spouse 3,311
## 259 2019 Household composition Other household with child 572
## 260 2019 Race/ethnicity of households White non-Hispanic 21,161
## 261 2019 Race/ethnicity of households Black non-Hispanic 5,241
## 262 2019 Race/ethnicity of households Hispanic 7,750
## 263 2019 Race/ethnicity of households Other 3,463
## 264 2019 Household income-to-poverty ratio Under 1.00 4,212
## 265 2019 Household income-to-poverty ratio Under 1.30 6,451
## 266 2019 Household income-to-poverty ratio Under 1.85 10,179
## 267 2019 Household income-to-poverty ratio 1.85 and over 19,645
## 268 2019 Household income-to-poverty ratio Income unknown 7,791
## 269 2019 Inside metropolitan area 32,764
## 270 2019 Inside metropolitan area In principal cities 10,439
## 271 2019 Inside metropolitan area Not in principal cities 17,296
## 272 2019 Outside metropolitan area 4,851
## 273 2019 Census geographic region Northeast 6,233
## 274 2019 Census geographic region Midwest 7,867
## 275 2019 Census geographic region South 14,888
## 276 2019 Census geographic region West 8,626
## 277 2020 All households with children 37,903
## 278 2020 Household composition With children < 6 years 16,119
## 279 2020 Household composition Married-couple families 24,420
## 280 2020 Household composition Female head, no spouse 9,774
## 281 2020 Household composition Male head, no spouse 3,296
## 282 2020 Household composition Other household with child 413
## 283 2020 Race/ethnicity of households White non-Hispanic 20,904
## 284 2020 Race/ethnicity of households Black non-Hispanic 5,418
## 285 2020 Race/ethnicity of households Hispanic 8,143
## 286 2020 Race/ethnicity of households Other 3,437
## 287 2020 Household income-to-poverty ratio Under 1.00 4,300
## 288 2020 Household income-to-poverty ratio Under 1.30 6,465
## 289 2020 Household income-to-poverty ratio Under 1.85 10,080
## 290 2020 Household income-to-poverty ratio 1.85 and over 19,432
## 291 2020 Household income-to-poverty ratio Income unknown 8,391
## 292 2020 Inside metropolitan area 32,790
## 293 2020 Inside metropolitan area In principal cities 10,563
## 294 2020 Inside metropolitan area Not in principal cities 17,520
## 295 2020 Outside metropolitan area 5,113
## 296 2020 Census geographic region Northeast 6,145
## 297 2020 Census geographic region Midwest 7,794
## 298 2020 Census geographic region South 15,228
## 299 2020 Census geographic region West 8,736
## 300 2021 All households with children 36,765
## 301 2021 Household composition With children < 6 years 15,406
## 302 2021 Household composition Married-couple families 23,849
## 303 2021 Household composition Female head, no spouse 9,197
## 304 2021 Household composition Male head, no spouse 3,194
## 305 2021 Household composition Other household with child 524
## 306 2021 Race/ethnicity of households White non-Hispanic 20,215
## 307 2021 Race/ethnicity of households Black non-Hispanic 5,047
## 308 2021 Race/ethnicity of households Hispanic 8,235
## 309 2021 Race/ethnicity of households Other 3,268
## 310 2021 Household income-to-poverty ratio Under 1.00 4,017
## 311 2021 Household income-to-poverty ratio Under 1.30 6,082
## 312 2021 Household income-to-poverty ratio Under 1.85 9,111
## 313 2021 Household income-to-poverty ratio 1.85 and over 19,522
## 314 2021 Household income-to-poverty ratio Income unknown 8,131
## 315 2021 Inside metropolitan area 31,887
## 316 2021 Inside metropolitan area In principal cities 9,773
## 317 2021 Inside metropolitan area Not in principal cities 17,638
## 318 2021 Outside metropolitan area 4,878
## 319 2021 Census geographic region Northeast 5,882
## 320 2021 Census geographic region Midwest 7,528
## 321 2021 Census geographic region South 14,673
## 322 2021 Census geographic region West 8,682
## 323 2022 All households with children 37,235
## 324 2022 Household composition With children < 6 years 15,551
## 325 2022 Household composition Married-couple families 24,152
## 326 2022 Household composition Female head, no spouse 9,207
## 327 2022 Household composition Male head, no spouse 3,437
## 328 2022 Household composition Other household with child 439
## 329 2022 Race/ethnicity of households White non-Hispanic 20,247
## 330 2022 Race/ethnicity of households Black non-Hispanic 5,260
## 331 2022 Race/ethnicity of households Hispanic 8,347
## 332 2022 Race/ethnicity of households Other 3,382
## 333 2022 Household income-to-poverty ratio Under 1.00 4,561
## 334 2022 Household income-to-poverty ratio Under 1.30 6,691
## 335 2022 Household income-to-poverty ratio Under 1.85 9,410
## 336 2022 Household income-to-poverty ratio 1.85 and over 21,378
## 337 2022 Household income-to-poverty ratio Income unknown 6,448
## 338 2022 Inside metropolitan area 32,315
## 339 2022 Inside metropolitan area In principal cities 9,877
## 340 2022 Inside metropolitan area Not in principal cities 17,900
## 341 2022 Outside metropolitan area 4,920
## 342 2022 Census geographic region Northeast 5,864
## 343 2022 Census geographic region Midwest 7,883
## 344 2022 Census geographic region South 14,659
## 345 2022 Census geographic region West 8,830
## X.Food.secure.households.1.000. Food.secure.households.percent
## 1 31,364 79.0
## 2 13,595 77.7
## 3 22,886 85.7
## 4 6,057 62.8
## 5 2,014 72.4
## 6 405 70.8
## 7 20,480 84.5
## 8 3,825 68.1
## 9 4,950 67.9
## 10 2,108 82.5
## 11 2,968 49.7
## 12 4,960 53.7
## 13 7,271 57.8
## 14 20,006 89.9
## 15 4,085 83.9
## 16 26,597 79.2
## 17 7,834 73.8
## 18 14,246 82.4
## 19 4,766 78.0
## 20 5,787 81.1
## 21 7,045 80.3
## 22 11,064 76.9
## 23 7,466 79.4
## 24 31,114 78.7
## 25 13,566 77.1
## 26 22,475 85.3
## 27 6,146 63.4
## 28 2,082 72.2
## 29 409 67.4
## 30 20,280 84.3
## 31 3,787 67.4
## 32 4,823 67.3
## 33 2,225 83.2
## 34 3,075 49.3
## 35 4,719 53.1
## 36 7,179 57.2
## 37 18,092 90.1
## 38 5,843 84.7
## 39 26,175 78.6
## 40 7,550 73.5
## 41 14,239 81.5
## 42 4,939 79.5
## 43 5,722 82.4
## 44 6,767 79.5
## 45 11,268 76.9
## 46 7,357 78.2
## 47 31,447 79.8
## 48 13,899 78.2
## 49 22,179 86.2
## 50 6,547 64.9
## 51 2,223 74.6
## 52 498 79.2
## 53 20,233 85.6
## 54 3,722 67.1
## 55 5,178 69.4
## 56 2,315 83.4
## 57 3,920 55.7
## 58 5,686 58.1
## 59 8,062 61.0
## 60 17,310 90.8
## 61 6,075 85.0
## 62 26,601 79.9
## 63 7,839 75.2
## 64 14,376 82.9
## 65 4,847 79.1
## 66 5,525 82.1
## 67 6,849 81.9
## 68 11,718 78.4
## 69 7,356 78.3
## 70 30,814 79.4
## 71 13,494 78.1
## 72 21,879 86.1
## 73 6,124 63.2
## 74 2,296 75.2
## 75 517 81.0
## 76 19,655 84.5
## 77 3,742 70.8
## 78 5,045 67.7
## 79 2,373 84.8
## 80 3,882 54.8
## 81 5,240 56.5
## 82 7,816 59.7
## 83 17,469 92.0
## 84 5,530 82.2
## 85 26,224 79.7
## 86 7,883 75.8
## 87 14,004 82.1
## 88 4,590 78.0
## 89 5,538 81.5
## 90 6,835 82.7
## 91 11,289 78.1
## 92 7,153 77.0
## 93 31,354 80.0
## 94 13,770 79.5
## 95 21,907 86.8
## 96 6,705 64.6
## 97 2,299 76.4
## 98 443 75.5
## 99 19,281 84.0
## 100 3,710 70.9
## 101 5,873 72.8
## 102 2,488 84.4
## 103 3,878 55.0
## 104 5,281 56.6
## 105 8,075 60.6
## 106 17,336 91.6
## 107 5,943 85.7
## 108 26,643 80.2
## 109 8,145 76.3
## 110 14,166 82.4
## 111 4,711 78.8
## 112 5,428 83.3
## 113 6,677 80.9
## 114 11,774 78.3
## 115 7,475 79.6
## 116 30,978 80.5
## 117 13,405 79.1
## 118 21,699 87.2
## 119 6,577 65.6
## 120 2,327 76.9
## 121 375 69.4
## 122 19,066 85.6
## 123 3,525 67.4
## 124 5,575 72.0
## 125 2,813 87.0
## 126 3,599 54.4
## 127 4,819 55.8
## 128 7,324 59.7
## 129 17,070 92.3
## 130 6,585 85.3
## 131 26,507 80.9
## 132 8,148 77.2
## 133 14,179 83.9
## 134 4,471 78.0
## 135 5,420 83.1
## 136 6,860 82.5
## 137 11,395 77.8
## 138 7,302 81.1
## 139 31,590 80.8
## 140 13,786 80.1
## 141 22,226 87.6
## 142 6,412 64.7
## 143 2,533 78.3
## 144 419 75.6
## 145 19,319 86.0
## 146 3,563 67.6
## 147 5,829 73.1
## 148 2,879 85.8
## 149 3,662 55.2
## 150 4,932 57.5
## 151 7,773 61.4
## 152 17,420 92.1
## 153 6,398 85.3
## 154 27,226 81.6
## 155 8,304 77.7
## 156 14,720 84.6
## 157 4,364 76.4
## 158 5,401 81.7
## 159 6,695 81.6
## 160 11,858 79.1
## 161 7,636 82.3
## 162 32,519 83.4
## 163 14,128 83.1
## 164 22,670 89.8
## 165 7,051 69.7
## 166 2,432 77.6
## 167 366 73.8
## 168 19,315 86.9
## 169 3,932 75.3
## 170 6,482 78.1
## 171 2,790 86.7
## 172 3,364 57.1
## 173 4,608 58.9
## 174 7,277 63.2
## 175 17,974 93.5
## 176 7,267 88.2
## 177 28,119 84.1
## 178 8,845 81.3
## 179 15,276 86.5
## 180 4,401 79.5
## 181 5,405 84.3
## 182 6,812 83.5
## 183 12,406 83.2
## 184 7,896 83.1
## 185 32,058 83.5
## 186 13,820 83.4
## 187 22,560 90.1
## 188 6,693 68.4
## 189 2,402 78.2
## 190 404 77.8
## 191 18,838 87.3
## 192 3,695 74.0
## 193 6,493 78.1
## 194 3,032 86.3
## 195 3,110 56.2
## 196 4,426 59.3
## 197 7,538 64.7
## 198 18,257 93.7
## 199 6,263 86.2
## 200 28,071 84.1
## 201 8,749 80.6
## 202 15,350 86.9
## 203 3,986 79.6
## 204 5,388 84.6
## 205 6,651 84.3
## 206 12,135 82.6
## 207 7,884 83.4
## 208 31,975 84.3
## 209 13,551 83.6
## 210 22,383 90.5
## 211 6,662 69.7
## 212 2,455 80.3
## 213 476 81.9
## 214 18,891 88.1
## 215 3,745 73.9
## 216 6,395 78.9
## 217 2,943 88.5
## 218 2,795 56.6
## 219 4,096 60.4
## 220 7,017 65.3
## 221 18,351 93.4
## 222 6,607 87.5
## 223 27,888 84.8
## 224 8,432 81.1
## 225 15,650 88.1
## 226 4,088 81.1
## 227 5,402 85.9
## 228 6,699 84.6
## 229 11,848 82.1
## 230 8,027 86.2
## 231 32,369 86.1
## 232 13,967 85.7
## 233 22,559 91.7
## 234 6,752 72.2
## 235 2,721 84.0
## 236 337 78.9
## 237 18,863 89.6
## 238 3,840 74.8
## 239 6,745 83.2
## 240 2,922 88.3
## 241 2,729 61.7
## 242 4,534 65.6
## 243 6,831 68.7
## 244 18,531 93.5
## 245 7,006 89.2
## 246 28,131 86.5
## 247 8,543 83.1
## 248 15,642 89.1
## 249 4,239 83.5
## 250 5,264 86.9
## 251 6,751 85.4
## 252 12,361 84.9
## 253 7,994 87.9
## 254 32,480 86.4
## 255 13,784 85.5
## 256 22,542 92.5
## 257 6,663 71.3
## 258 2,802 84.6
## 259 472 82.5
## 260 18,900 89.3
## 261 4,035 77.0
## 262 6,431 83.0
## 263 3,115 90.0
## 264 2,650 62.9
## 265 4,192 65.0
## 266 7,078 69.5
## 267 18,526 94.3
## 268 6,877 88.3
## 269 28,407 86.7
## 270 8,743 83.8
## 271 15,469 89.4
## 272 4,073 84.0
## 273 5,384 86.4
## 274 6,722 85.4
## 275 12,860 86.4
## 276 7,514 87.1
## 277 32,280 85.2
## 278 13,655 84.7
## 279 22,091 90.5
## 280 7,070 72.3
## 281 2,758 83.7
## 282 362 87.7
## 283 18,886 90.3
## 284 3,941 72.7
## 285 6,366 78.2
## 286 3,085 89.8
## 287 2,560 59.5
## 288 4,032 62.4
## 289 6,686 66.3
## 290 18,325 94.3
## 291 7,270 86.6
## 292 27,991 85.4
## 293 8,620 81.6
## 294 15,347 87.6
## 295 4,289 83.9
## 296 5,314 86.5
## 297 6,719 86.2
## 298 12,707 83.4
## 299 7,540 86.3
## 300 32,170 87.5
## 301 13,418 87.1
## 302 22,088 92.6
## 303 6,965 75.7
## 304 2,678 83.8
## 305 438 83.6
## 306 18,619 92.1
## 307 3,903 77.3
## 308 6,755 82.0
## 309 2,893 88.5
## 310 2,694 67.1
## 311 4,092 67.3
## 312 6,472 71.0
## 313 18,509 94.8
## 314 7,189 88.4
## 315 27,959 87.7
## 316 8,325 85.2
## 317 15,776 89.4
## 318 4,211 86.3
## 319 5,276 89.7
## 320 6,584 87.5
## 321 12,708 86.6
## 322 7,602 87.6
## 323 30,798 82.7
## 324 12,948 83.3
## 325 21,572 89.3
## 326 6,159 66.9
## 327 2,708 78.8
## 328 358 81.5
## 329 17,757 87.7
## 330 3,791 72.1
## 331 6,286 75.3
## 332 2,964 87.6
## 333 2,631 57.7
## 334 3,928 58.7
## 335 5,840 62.1
## 336 19,480 91.1
## 337 5,479 85.0
## 338 26,845 83.1
## 339 7,755 78.5
## 340 15,328 85.6
## 341 3,952 80.3
## 342 4,981 84.9
## 343 6,544 83.0
## 344 11,786 80.4
## 345 7,488 84.8
## X.Food.insecure.households.1.000. Food.insecure.households.percent
## 1 8,335 21.0
## 2 3,908 22.3
## 3 3,819 14.3
## 4 3,582 37.2
## 5 768 27.6
## 6 167 29.2
## 7 3,757 15.5
## 8 1,788 31.9
## 9 2,344 32.1
## 10 446 17.5
## 11 3,007 50.3
## 12 4,269 46.3
## 13 5,315 42.2
## 14 2,239 10.1
## 15 782 16.1
## 16 6,995 20.8
## 17 2,780 26.2
## 18 3,042 17.6
## 19 1,341 22.0
## 20 1,345 18.9
## 21 1,728 19.7
## 22 3,329 23.1
## 23 1,934 20.6
## 24 8,411 21.3
## 25 4,032 22.9
## 26 3,859 14.7
## 27 3,554 36.6
## 28 801 27.8
## 29 198 32.6
## 30 3,785 15.7
## 31 1,835 32.6
## 32 2,343 32.7
## 33 448 16.8
## 34 3,158 50.7
## 35 4,161 46.9
## 36 5,374 42.8
## 37 1,979 9.9
## 38 1,058 15.3
## 39 7,139 21.4
## 40 2,722 26.5
## 41 3,240 18.5
## 42 1,272 20.5
## 43 1,225 17.6
## 44 1,749 20.5
## 45 3,393 23.1
## 46 2,045 21.8
## 47 7,972 20.2
## 48 3,881 21.8
## 49 3,550 13.8
## 50 3,534 35.1
## 51 757 25.4
## 52 131 20.8
## 53 3,399 14.4
## 54 1,827 32.9
## 55 2,285 30.6
## 56 460 16.6
## 57 3,123 44.3
## 58 4,105 41.9
## 59 5,152 39.0
## 60 1,746 9.2
## 61 1,074 15.0
## 62 6,692 20.1
## 63 2,579 24.8
## 64 2,956 17.1
## 65 1,279 20.9
## 66 1,201 17.9
## 67 1,510 18.1
## 68 3,220 21.6
## 69 2,040 21.7
## 70 7,989 20.6
## 71 3,787 21.9
## 72 3,542 13.9
## 73 3,566 36.8
## 74 759 24.8
## 75 121 19.0
## 76 3,619 15.5
## 77 1,542 29.2
## 78 2,402 32.3
## 79 426 15.2
## 80 3,208 45.2
## 81 4,038 43.5
## 82 5,270 40.3
## 83 1,517 8.0
## 84 1,201 17.8
## 85 6,691 20.3
## 86 2,517 24.2
## 87 3,062 17.9
## 88 1,298 22.0
## 89 1,259 18.5
## 90 1,427 17.3
## 91 3,165 21.9
## 92 2,137 23.0
## 93 7,847 20.0
## 94 3,555 20.5
## 95 3,326 13.2
## 96 3,668 35.4
## 97 709 23.6
## 98 144 24.5
## 99 3,670 16.0
## 100 1,520 29.1
## 101 2,198 27.2
## 102 460 15.6
## 103 3,178 45.0
## 104 4,045 43.4
## 105 5,257 39.4
## 106 1,598 8.4
## 107 993 14.3
## 108 6,580 19.8
## 109 2,536 23.7
## 110 3,033 17.6
## 111 1,267 21.2
## 112 1,085 16.7
## 113 1,581 19.1
## 114 3,265 21.7
## 115 1,917 20.4
## 116 7,508 19.5
## 117 3,537 20.9
## 118 3,197 12.8
## 119 3,448 34.4
## 120 698 23.1
## 121 165 30.6
## 122 3,213 14.4
## 123 1,702 32.6
## 124 2,171 28.0
## 125 421 13.0
## 126 3,016 45.6
## 127 3,817 44.2
## 128 4,943 40.3
## 129 1,431 7.7
## 130 1,133 14.7
## 131 6,248 19.1
## 132 2,412 22.8
## 133 2,716 16.1
## 134 1,259 22.0
## 135 1,104 16.9
## 136 1,451 17.5
## 137 3,246 22.2
## 138 1,707 18.9
## 139 7,489 19.2
## 140 3,425 19.9
## 141 3,150 12.4
## 142 3,500 35.3
## 143 704 21.7
## 144 135 24.4
## 145 3,158 14.0
## 146 1,711 32.4
## 147 2,145 26.9
## 148 475 14.2
## 149 2,976 44.8
## 150 3,648 42.5
## 151 4,893 38.6
## 152 1,492 7.9
## 153 1,104 14.7
## 154 6,142 18.4
## 155 2,389 22.3
## 156 2,681 15.4
## 157 1,347 23.6
## 158 1,213 18.3
## 159 1,506 18.4
## 160 3,127 20.9
## 161 1,643 17.7
## 162 6,459 16.6
## 163 2,867 16.9
## 164 2,562 10.2
## 165 3,066 30.3
## 166 701 22.4
## 167 130 26.2
## 168 2,922 13.1
## 169 1,291 24.7
## 170 1,817 21.9
## 171 428 13.3
## 172 2,525 42.9
## 173 3,219 41.1
## 174 4,233 36.8
## 175 1,258 6.5
## 176 968 11.8
## 177 5,321 15.9
## 178 2,030 18.7
## 179 2,386 13.5
## 180 1,137 20.5
## 181 1,004 15.7
## 182 1,346 16.5
## 183 2,501 16.8
## 184 1,607 16.9
## 185 6,342 16.5
## 186 2,751 16.6
## 187 2,471 9.9
## 188 3,087 31.6
## 189 668 21.8
## 190 115 22.2
## 191 2,736 12.7
## 192 1,300 26.0
## 193 1,826 21.9
## 194 480 13.7
## 195 2,423 43.8
## 196 3,041 40.7
## 197 4,119 35.3
## 198 1,220 6.3
## 199 1,002 13.8
## 200 5,319 15.9
## 201 2,106 19.4
## 202 2,322 13.1
## 203 1,023 20.4
## 204 982 15.4
## 205 1,237 15.7
## 206 2,552 17.4
## 207 1,570 16.6
## 208 5,967 15.7
## 209 2,649 16.4
## 210 2,361 9.5
## 211 2,899 30.3
## 212 602 19.7
## 213 105 18.1
## 214 2,560 11.9
## 215 1,320 26.1
## 216 1,706 21.1
## 217 382 11.5
## 218 2,145 43.4
## 219 2,683 39.6
## 220 3,727 34.7
## 221 1,295 6.6
## 222 946 12.5
## 223 5,014 15.2
## 224 1,969 18.9
## 225 2,120 11.9
## 226 953 18.9
## 227 889 14.1
## 228 1,218 15.4
## 229 2,579 17.9
## 230 1,281 13.8
## 231 5,243 13.9
## 232 2,339 14.3
## 233 2,039 8.3
## 234 2,597 27.8
## 235 517 16.0
## 236 90 21.1
## 237 2,196 10.4
## 238 1,296 25.2
## 239 1,363 16.8
## 240 388 11.7
## 241 1,697 38.3
## 242 2,377 34.4
## 243 3,109 31.3
## 244 1,289 6.5
## 245 846 10.8
## 246 4,403 13.5
## 247 1,738 16.9
## 248 1,920 10.9
## 249 840 16.5
## 250 793 13.1
## 251 1,150 14.6
## 252 2,200 15.1
## 253 1,099 12.1
## 254 5,134 13.6
## 255 2,331 14.5
## 256 1,840 7.5
## 257 2,686 28.7
## 258 509 15.4
## 259 100 17.5
## 260 2,261 10.7
## 261 1,206 23.0
## 262 1,319 17.0
## 263 348 10.0
## 264 1,562 37.1
## 265 2,259 35.0
## 266 3,101 30.5
## 267 1,119 5.7
## 268 914 11.7
## 269 4,357 13.3
## 270 1,696 16.2
## 271 1,827 10.6
## 272 778 16.0
## 273 849 13.6
## 274 1,145 14.6
## 275 2,028 13.6
## 276 1,112 12.9
## 277 5,623 14.8
## 278 2,464 15.3
## 279 2,329 9.5
## 280 2,704 27.7
## 281 538 16.3
## 282 51 12.3
## 283 2,018 9.7
## 284 1,477 27.3
## 285 1,777 21.8
## 286 352 10.2
## 287 1,740 40.5
## 288 2,433 37.6
## 289 3,394 33.7
## 290 1,107 5.7
## 291 1,121 13.4
## 292 4,799 14.6
## 293 1,943 18.4
## 294 2,173 12.4
## 295 824 16.1
## 296 831 13.5
## 297 1,075 13.8
## 298 2,521 16.6
## 299 1,196 13.7
## 300 4,595 12.5
## 301 1,988 12.9
## 302 1,761 7.4
## 303 2,232 24.3
## 304 516 16.2
## 305 86 16.4
## 306 1,596 7.9
## 307 1,144 22.7
## 308 1,480 18.0
## 309 375 11.5
## 310 1,323 32.9
## 311 1,990 32.7
## 312 2,639 29.0
## 313 1,013 5.2
## 314 942 11.6
## 315 3,928 12.3
## 316 1,448 14.8
## 317 1,862 10.6
## 318 667 13.7
## 319 606 10.3
## 320 944 12.5
## 321 1,965 13.4
## 322 1,080 12.4
## 323 6,437 17.3
## 324 2,603 16.7
## 325 2,580 10.7
## 326 3,048 33.1
## 327 729 21.2
## 328 81 18.5
## 329 2,490 12.3
## 330 1,469 27.9
## 331 2,061 24.7
## 332 418 12.4
## 333 1,930 42.3
## 334 2,763 41.3
## 335 3,570 37.9
## 336 1,898 8.9
## 337 969 15.0
## 338 5,470 16.9
## 339 2,122 21.5
## 340 2,572 14.4
## 341 968 19.7
## 342 883 15.1
## 343 1,339 17.0
## 344 2,873 19.6
## 345 1,342 15.2
## X.Households.with.food.insecure.children.1.000.
## 1 4,361
## 2 1,909
## 3 1,912
## 4 2,068
## 5 309
## 6 72
## 7 1,753
## 8 1,050
## 9 1,320
## 10 238
## 11 1,758
## 12 2,453
## 13 2,952
## 14 991
## 15 417
## 16 3,658
## 17 1,432
## 18 1,603
## 19 702
## 20 725
## 21 833
## 22 1,740
## 23 1,063
## 24 4,208
## 25 1,869
## 26 1,852
## 27 1,875
## 28 379
## 29 102
## 30 1,680
## 31 965
## 32 1,339
## 33 225
## 34 1,774
## 35 2,255
## 36 2,836
## 37 884
## 38 489
## 39 3,555
## 40 1,426
## 41 1,574
## 42 653
## 43 655
## 44 715
## 45 1,746
## 46 1,092
## 47 3,861
## 48 1,774
## 49 1,646
## 50 1,780
## 51 351
## 52 85
## 53 1,444
## 54 907
## 55 1,267
## 56 243
## 57 1,690
## 58 2,123
## 59 2,637
## 60 706
## 61 518
## 62 3,264
## 63 1,300
## 64 1,357
## 65 597
## 66 576
## 67 682
## 68 1,586
## 69 1,017
## 70 3,862
## 71 1,668
## 72 1,612
## 73 1,832
## 74 371
## 75 46
## 76 1,552
## 77 769
## 78 1,294
## 79 247
## 80 1,711
## 81 2,122
## 82 2,724
## 83 588
## 84 549
## 85 3,248
## 86 1,247
## 87 1,502
## 88 613
## 89 580
## 90 657
## 91 1,549
## 92 1,076
## 93 3,910
## 94 1,569
## 95 1,588
## 96 1,940
## 97 327
## 98 55
## 99 1,699
## 100 784
## 101 1,177
## 102 250
## 103 1,689
## 104 2,146
## 105 2,766
## 106 682
## 107 462
## 108 3,308
## 109 1,319
## 110 1,487
## 111 602
## 112 505
## 113 829
## 114 1,607
## 115 969
## 116 3,814
## 117 1,658
## 118 1,617
## 119 1,785
## 120 330
## 121 83
## 122 1,557
## 123 906
## 124 1,133
## 125 218
## 126 1,666
## 127 2,049
## 128 2,643
## 129 643
## 130 528
## 131 3,206
## 132 1,187
## 133 1,450
## 134 608
## 135 540
## 136 631
## 137 1,775
## 138 868
## 139 3,665
## 140 1,567
## 141 1,438
## 142 1,830
## 143 343
## 144 54
## 145 1,471
## 146 851
## 147 1,114
## 148 229
## 149 1,657
## 150 1,963
## 151 2,540
## 152 607
## 153 519
## 154 2,979
## 155 1,201
## 156 1,274
## 157 686
## 158 531
## 159 779
## 160 1,547
## 161 809
## 162 3,022
## 163 1,180
## 164 1,148
## 165 1,504
## 166 314
## 167 57
## 168 1,316
## 169 559
## 170 954
## 171 194
## 172 1,229
## 173 1,533
## 174 2,020
## 175 630
## 176 373
## 177 2,507
## 178 935
## 179 1,166
## 180 516
## 181 495
## 182 614
## 183 1,153
## 184 760
## 185 3,069
## 186 1,318
## 187 1,182
## 188 1,560
## 189 283
## 190 45
## 191 1,198
## 192 668
## 193 969
## 194 234
## 195 1,310
## 196 1,629
## 197 2,120
## 198 485
## 199 465
## 200 2,542
## 201 1,016
## 202 1,151
## 203 527
## 204 431
## 205 628
## 206 1,238
## 207 772
## 208 2,926
## 209 1,273
## 210 1,062
## 211 1,542
## 212 263
## 213 59
## 214 1,206
## 215 661
## 216 866
## 217 194
## 218 1,134
## 219 1,415
## 220 1,927
## 221 541
## 222 459
## 223 2,458
## 224 1,006
## 225 1,040
## 226 468
## 227 415
## 228 607
## 229 1,210
## 230 694
## 231 2,658
## 232 1,091
## 233 873
## 234 1,483
## 235 269
## 236 NA
## 237 1,067
## 238 759
## 239 673
## 240 159
## 241 969
## 242 1,331
## 243 1,637
## 244 571
## 245 449
## 246 2,253
## 247 938
## 248 950
## 249 405
## 250 423
## 251 554
## 252 1,121
## 253 560
## 254 2,434
## 255 993
## 256 781
## 257 1,431
## 258 216
## 259 NA
## 260 1,054
## 261 623
## 262 601
## 263 157
## 264 819
## 265 1,192
## 266 1,606
## 267 433
## 268 396
## 269 2,058
## 270 828
## 271 829
## 272 376
## 273 414
## 274 527
## 275 927
## 276 565
## 277 2,870
## 278 1,128
## 279 1,115
## 280 1,447
## 281 277
## 282 NA
## 283 966
## 284 704
## 285 991
## 286 210
## 287 918
## 288 1,256
## 289 1,731
## 290 455
## 291 684
## 292 2,458
## 293 1,033
## 294 1,100
## 295 412
## 296 415
## 297 600
## 298 1,196
## 299 659
## 300 2,290
## 301 997
## 302 909
## 303 1,114
## 304 239
## 305 NA
## 306 689
## 307 606
## 308 797
## 309 199
## 310 679
## 311 1,020
## 312 1,321
## 313 438
## 314 532
## 315 1,976
## 316 749
## 317 938
## 318 314
## 319 256
## 320 472
## 321 935
## 322 627
## 323 3,265
## 324 1,336
## 325 1,206
## 326 1,674
## 327 365
## 328 NA
## 329 1,114
## 330 833
## 331 1,101
## 332 219
## 333 1,102
## 334 1,551
## 335 1,970
## 336 856
## 337 439
## 338 2,819
## 339 1,089
## 340 1,323
## 341 446
## 342 400
## 343 686
## 344 1,522
## 345 657
## Households.with.food.insecure.children.percent
## 1 11.0
## 2 10.9
## 3 7.2
## 4 21.5
## 5 11.1
## 6 12.5
## 7 7.2
## 8 18.7
## 9 18.1
## 10 9.3
## 11 29.4
## 12 26.6
## 13 23.5
## 14 4.5
## 15 8.6
## 16 10.9
## 17 13.5
## 18 9.3
## 19 11.5
## 20 10.2
## 21 9.5
## 22 12.1
## 23 11.3
## 24 10.6
## 25 10.6
## 26 7.0
## 27 19.3
## 28 13.1
## 29 16.8
## 30 7.0
## 31 17.2
## 32 18.7
## 33 8.4
## 34 28.5
## 35 25.4
## 36 22.6
## 37 4.4
## 38 7.1
## 39 10.7
## 40 13.9
## 41 9.0
## 42 10.5
## 43 9.4
## 44 8.4
## 45 11.9
## 46 11.6
## 47 9.8
## 48 10.0
## 49 6.4
## 50 17.7
## 51 11.8
## 52 13.5
## 53 6.1
## 54 16.3
## 55 17.0
## 56 8.8
## 57 24.0
## 58 21.7
## 59 20.0
## 60 3.7
## 61 7.2
## 62 9.8
## 63 12.5
## 64 7.8
## 65 9.7
## 66 8.6
## 67 8.2
## 68 10.6
## 69 10.8
## 70 10.0
## 71 9.7
## 72 6.3
## 73 18.9
## 74 12.1
## 75 7.2
## 76 6.7
## 77 14.6
## 78 17.4
## 79 8.8
## 80 24.1
## 81 22.9
## 82 20.8
## 83 3.1
## 84 8.2
## 85 9.9
## 86 12.0
## 87 8.8
## 88 10.4
## 89 8.5
## 90 8.0
## 91 10.7
## 92 11.6
## 93 10.0
## 94 9.1
## 95 6.3
## 96 18.7
## 97 10.9
## 98 9.4
## 99 7.4
## 100 15.0
## 101 14.6
## 102 8.5
## 103 23.9
## 104 23.0
## 105 20.7
## 106 3.6
## 107 6.7
## 108 10.0
## 109 12.3
## 110 8.6
## 111 10.1
## 112 7.8
## 113 10.0
## 114 10.7
## 115 10.3
## 116 9.9
## 117 9.8
## 118 6.5
## 119 17.8
## 120 10.9
## 121 15.4
## 122 7.0
## 123 17.3
## 124 14.6
## 125 6.7
## 126 25.2
## 127 23.7
## 128 21.5
## 129 3.5
## 130 6.8
## 131 9.8
## 132 11.2
## 133 8.6
## 134 10.6
## 135 8.3
## 136 7.6
## 137 12.1
## 138 9.6
## 139 9.4
## 140 9.1
## 141 5.7
## 142 18.5
## 143 10.6
## 144 9.7
## 145 6.5
## 146 16.1
## 147 14.0
## 148 6.8
## 149 25.0
## 150 22.9
## 151 20.1
## 152 3.2
## 153 6.9
## 154 8.9
## 155 11.2
## 156 7.3
## 157 12.0
## 158 8.0
## 159 9.5
## 160 10.3
## 161 8.7
## 162 7.8
## 163 6.9
## 164 4.5
## 165 14.9
## 166 10.0
## 167 11.5
## 168 5.9
## 169 10.7
## 170 11.5
## 171 6.0
## 172 20.9
## 173 19.6
## 174 17.5
## 175 3.3
## 176 4.5
## 177 7.5
## 178 8.6
## 179 6.6
## 180 9.3
## 181 7.7
## 182 7.5
## 183 7.7
## 184 8.0
## 185 8.0
## 186 8.0
## 187 4.7
## 188 16.0
## 189 9.2
## 190 8.7
## 191 5.6
## 192 13.4
## 193 11.6
## 194 6.7
## 195 23.7
## 196 21.8
## 197 18.2
## 198 2.5
## 199 6.4
## 200 7.6
## 201 9.4
## 202 6.5
## 203 10.5
## 204 6.8
## 205 8.0
## 206 8.4
## 207 8.2
## 208 7.7
## 209 7.9
## 210 4.3
## 211 16.1
## 212 8.6
## 213 10.2
## 214 5.6
## 215 13.1
## 216 10.7
## 217 5.8
## 218 23.0
## 219 20.9
## 220 17.9
## 221 2.8
## 222 6.1
## 223 7.5
## 224 9.7
## 225 5.9
## 226 9.3
## 227 6.6
## 228 7.7
## 229 8.4
## 230 7.5
## 231 7.1
## 232 6.7
## 233 3.5
## 234 15.9
## 235 8.3
## 236 NA
## 237 5.1
## 238 14.8
## 239 8.3
## 240 4.8
## 241 21.9
## 242 19.3
## 243 16.5
## 244 2.9
## 245 5.7
## 246 6.9
## 247 9.1
## 248 5.4
## 249 8.0
## 250 7.0
## 251 7.0
## 252 7.7
## 253 6.2
## 254 6.5
## 255 6.2
## 256 3.2
## 257 15.3
## 258 6.5
## 259 <NA>
## 260 5.0
## 261 11.9
## 262 7.8
## 263 4.5
## 264 19.4
## 265 18.5
## 266 15.8
## 267 2.2
## 268 5.1
## 269 6.3
## 270 7.9
## 271 4.8
## 272 7.8
## 273 6.6
## 274 6.7
## 275 6.2
## 276 6.5
## 277 7.6
## 278 7.0
## 279 4.6
## 280 14.8
## 281 8.4
## 282 <NA>
## 283 4.6
## 284 13.0
## 285 12.2
## 286 6.1
## 287 21.3
## 288 19.4
## 289 17.2
## 290 2.3
## 291 8.2
## 292 7.5
## 293 9.8
## 294 6.3
## 295 8.1
## 296 6.8
## 297 7.7
## 298 7.9
## 299 7.5
## 300 6.2
## 301 6.5
## 302 3.8
## 303 12.1
## 304 7.5
## 305 <NA>
## 306 3.4
## 307 12.0
## 308 9.7
## 309 6.1
## 310 16.9
## 311 16.8
## 312 14.5
## 313 2.2
## 314 6.5
## 315 6.2
## 316 7.7
## 317 5.3
## 318 6.4
## 319 4.4
## 320 6.3
## 321 6.4
## 322 7.2
## 323 8.8
## 324 8.6
## 325 5
## 326 18.2
## 327 10.6
## 328 <NA>
## 329 5.5
## 330 15.8
## 331 13.2
## 332 6.5
## 333 24.2
## 334 23.2
## 335 20.9
## 336 4
## 337 6.8
## 338 8.7
## 339 11
## 340 7.4
## 341 9.1
## 342 6.8
## 343 8.7
## 344 10.4
## 345 7.4
## X.Households.with.very.low.food.security.among.children.1.000.
## 1 506
## 2 166
## 3 196
## 4 266
## 5 31
## 6 13
## 7 152
## 8 146
## 9 177
## 10 31
## 11 244
## 12 329
## 13 385
## 14 80
## 15 41
## 16 447
## 17 166
## 18 211
## 19 59
## 20 89
## 21 81
## 22 175
## 23 161
## 24 469
## 25 165
## 26 197
## 27 236
## 28 29
## 29 NA
## 30 150
## 31 117
## 32 176
## 33 26
## 34 242
## 35 312
## 36 368
## 37 65
## 38 NA
## 39 430
## 40 177
## 41 183
## 42 39
## 43 108
## 44 54
## 45 162
## 46 145
## 47 386
## 48 175
## 49 170
## 50 179
## 51 NA
## 52 NA
## 53 102
## 54 110
## 55 133
## 56 41
## 57 194
## 58 225
## 59 275
## 60 66
## 61 44
## 62 332
## 63 134
## 64 139
## 65 54
## 66 46
## 67 60
## 68 173
## 69 107
## 70 374
## 71 123
## 72 164
## 73 177
## 74 NA
## 75 NA
## 76 121
## 77 98
## 78 138
## 79 NA
## 80 199
## 81 251
## 82 290
## 83 36
## 84 47
## 85 327
## 86 129
## 87 154
## 88 46
## 89 56
## 90 66
## 91 189
## 92 63
## 93 463
## 94 137
## 95 188
## 96 223
## 97 39
## 98 NA
## 99 165
## 100 104
## 101 153
## 102 40
## 103 222
## 104 304
## 105 376
## 106 58
## 107 NA
## 108 406
## 109 151
## 110 187
## 111 57
## 112 63
## 113 103
## 114 183
## 115 114
## 116 360
## 117 98
## 118 140
## 119 177
## 120 NA
## 121 NA
## 122 131
## 123 97
## 124 112
## 125 NA
## 126 179
## 127 211
## 128 266
## 129 NA
## 130 71
## 131 298
## 132 148
## 133 115
## 134 62
## 135 47
## 136 68
## 137 155
## 138 90
## 139 422
## 140 167
## 141 135
## 142 228
## 143 48
## 144 NA
## 145 142
## 146 104
## 147 128
## 148 48
## 149 234
## 150 247
## 151 303
## 152 40
## 153 79
## 154 346
## 155 144
## 156 168
## 157 76
## 158 62
## 159 87
## 160 153
## 161 121
## 162 274
## 163 74
## 164 92
## 165 144
## 166 NA
## 167 NA
## 168 101
## 169 61
## 170 99
## 171 NA
## 172 126
## 173 148
## 174 185
## 175 NA
## 176 56
## 177 240
## 178 97
## 179 119
## 180 34
## 181 44
## 182 57
## 183 84
## 184 89
## 185 298
## 186 121
## 187 95
## 188 168
## 189 NA
## 190 NA
## 191 84
## 192 111
## 193 87
## 194 NA
## 195 172
## 196 194
## 197 232
## 198 NA
## 199 NA
## 200 266
## 201 156
## 202 71
## 203 32
## 204 51
## 205 47
## 206 132
## 207 68
## 208 250
## 209 82
## 210 63
## 211 164
## 212 NA
## 213 NA
## 214 101
## 215 59
## 216 81
## 217 NA
## 218 134
## 219 157
## 220 205
## 221 NA
## 222 NA
## 223 210
## 224 96
## 225 75
## 226 40
## 227 NA
## 228 70
## 229 102
## 230 44
## 231 220
## 232 63
## 233 46
## 234 162
## 235 NA
## 236 NA
## 237 60
## 238 72
## 239 77
## 240 NA
## 241 94
## 242 132
## 243 143
## 244 52
## 245 NA
## 246 205
## 247 113
## 248 73
## 249 NA
## 250 NA
## 251 52
## 252 67
## 253 68
## 254 213
## 255 79
## 256 49
## 257 148
## 258 NA
## 259 NA
## 260 58
## 261 87
## 262 NA
## 263 NA
## 264 62
## 265 90
## 266 149
## 267 NA
## 268 NA
## 269 181
## 270 91
## 271 NA
## 272 32
## 273 NA
## 274 NA
## 275 81
## 276 35
## 277 322
## 278 119
## 279 112
## 280 164
## 281 NA
## 282 NA
## 283 78
## 284 90
## 285 143
## 286 NA
## 287 94
## 288 128
## 289 174
## 290 NA
## 291 114
## 292 290
## 293 145
## 294 100
## 295 32
## 296 NA
## 297 119
## 298 126
## 299 41
## 300 274
## 301 77
## 302 92
## 303 162
## 304 NA
## 305 NA
## 306 47
## 307 107
## 308 92
## 309 NA
## 310 137
## 311 162
## 312 176
## 313 60
## 314 NA
## 315 232
## 316 116
## 317 97
## 318 41
## 319 NA
## 320 NA
## 321 124
## 322 77
## 323 381
## 324 143
## 325 99
## 326 222
## 327 56
## 328 <NA>
## 329 127
## 330 70
## 331 168
## 332 <NA>
## 333 144
## 334 206
## 335 276
## 336 78
## 337 <NA>
## 338 346
## 339 166
## 340 140
## 341 35
## 342 <NA>
## 343 87
## 344 163
## 345 96
## Households.with.very.low.food.security.among.children.percent X X.1
## 1 1.3 NA
## 2 0.9 NA
## 3 0.7 NA
## 4 2.8 NA
## 5 1.1 NA
## 6 2.3 NA
## 7 0.6 NA
## 8 2.6 NA
## 9 2.4 NA
## 10 1.2 NA
## 11 4.1 NA
## 12 3.6 NA
## 13 3.1 NA
## 14 0.4 NA
## 15 0.8 NA
## 16 1.3 NA
## 17 1.6 NA
## 18 1.2 NA
## 19 1.0 NA
## 20 1.2 NA
## 21 0.9 NA
## 22 1.2 NA
## 23 1.7 NA
## 24 1.2 NA
## 25 0.9 NA
## 26 0.7 NA
## 27 2.4 NA
## 28 1.0 NA
## 29 <NA> NA
## 30 0.6 NA
## 31 2.1 NA
## 32 2.5 NA
## 33 1.0 NA
## 34 3.9 NA
## 35 3.5 NA
## 36 2.9 NA
## 37 0.3 NA
## 38 <NA> NA
## 39 1.3 NA
## 40 1.7 NA
## 41 1.0 NA
## 42 0.6 NA
## 43 1.6 NA
## 44 0.6 NA
## 45 1.1 NA
## 46 1.5 NA
## 47 1.0 NA
## 48 1.0 NA
## 49 0.7 NA
## 50 1.8 NA
## 51 <NA> NA
## 52 <NA> NA
## 53 0.4 NA
## 54 2.0 NA
## 55 1.8 NA
## 56 1.5 NA
## 57 2.8 NA
## 58 2.3 NA
## 59 2.1 NA
## 60 0.3 NA
## 61 0.6 NA
## 62 1.0 NA
## 63 1.3 NA
## 64 0.8 NA
## 65 0.9 NA
## 66 0.7 NA
## 67 0.7 NA
## 68 1.2 NA
## 69 1.1 NA
## 70 1.0 NA
## 71 0.7 NA
## 72 0.6 NA
## 73 1.8 NA
## 74 <NA> NA
## 75 <NA> NA
## 76 0.5 NA
## 77 1.9 NA
## 78 1.9 NA
## 79 <NA> NA
## 80 2.8 NA
## 81 2.7 NA
## 82 2.2 NA
## 83 0.2 NA
## 84 0.7 NA
## 85 1.0 NA
## 86 1.2 NA
## 87 0.9 NA
## 88 0.8 NA
## 89 0.8 NA
## 90 0.8 NA
## 91 1.3 NA
## 92 0.7 NA
## 93 1.2 NA
## 94 0.8 NA
## 95 0.7 NA
## 96 2.1 NA
## 97 1.3 NA
## 98 <NA> NA
## 99 0.7 NA
## 100 2.0 NA
## 101 1.9 NA
## 102 1.4 NA
## 103 3.1 NA
## 104 3.3 NA
## 105 2.8 NA
## 106 0.3 NA
## 107 <NA> NA
## 108 1.2 NA
## 109 1.4 NA
## 110 1.1 NA
## 111 1.0 NA
## 112 1.0 NA
## 113 1.2 NA
## 114 1.2 NA
## 115 1.2 NA
## 116 0.9 NA
## 117 0.6 NA
## 118 0.6 NA
## 119 1.8 NA
## 120 <NA> NA
## 121 <NA> NA
## 122 0.6 NA
## 123 1.9 NA
## 124 1.4 NA
## 125 <NA> NA
## 126 2.7 NA
## 127 2.4 NA
## 128 2.2 NA
## 129 <NA> NA
## 130 0.9 NA
## 131 0.9 NA
## 132 1.4 NA
## 133 0.7 NA
## 134 1.1 NA
## 135 0.7 NA
## 136 0.8 NA
## 137 1.1 NA
## 138 1.0 NA
## 139 1.1 NA
## 140 1.0 NA
## 141 0.5 NA
## 142 2.3 NA
## 143 1.5 NA
## 144 <NA> NA
## 145 0.6 NA
## 146 2.0 NA
## 147 1.6 NA
## 148 1.4 NA
## 149 3.5 NA
## 150 2.9 NA
## 151 2.4 NA
## 152 0.2 NA
## 153 1.1 NA
## 154 1.0 NA
## 155 1.3 NA
## 156 1.0 NA
## 157 1.3 NA
## 158 0.9 NA
## 159 1.1 NA
## 160 1.0 NA
## 161 1.3 NA
## 162 0.7 NA
## 163 0.4 NA
## 164 0.4 NA
## 165 1.4 NA
## 166 <NA> NA
## 167 <NA> NA
## 168 0.5 NA
## 169 1.2 NA
## 170 1.2 NA
## 171 <NA> NA
## 172 2.1 NA
## 173 1.9 NA
## 174 1.6 NA
## 175 <NA> NA
## 176 0.7 NA
## 177 0.7 NA
## 178 0.9 NA
## 179 0.7 NA
## 180 0.6 NA
## 181 0.7 NA
## 182 0.7 NA
## 183 0.6 NA
## 184 0.9 NA
## 185 0.8 NA
## 186 0.7 NA
## 187 0.4 NA
## 188 1.7 NA
## 189 <NA> NA
## 190 <NA> NA
## 191 0.4 NA
## 192 2.2 NA
## 193 1.0 NA
## 194 <NA> NA
## 195 3.1 NA
## 196 2.6 NA so
## 197 2.0 NA
## 198 <NA> NA
## 199 <NA> NA
## 200 0.8 NA
## 201 1.4 NA
## 202 0.4 NA
## 203 0.6 NA
## 204 0.8 NA
## 205 0.6 NA
## 206 0.9 NA
## 207 0.7 NA
## 208 0.7 NA
## 209 0.5 NA
## 210 0.3 NA
## 211 1.7 NA
## 212 <NA> NA
## 213 <NA> NA
## 214 0.5 NA
## 215 1.2 NA
## 216 1.0 NA
## 217 <NA> NA
## 218 2.7 NA
## 219 2.3 NA
## 220 1.9 NA
## 221 <NA> NA
## 222 <NA> NA
## 223 0.6 NA
## 224 0.9 NA
## 225 0.4 NA
## 226 0.8 NA
## 227 <NA> NA
## 228 0.9 NA
## 229 0.7 NA
## 230 0.5 NA
## 231 0.6 NA
## 232 0.4 NA
## 233 0.2 NA
## 234 1.7 NA
## 235 NA NA
## 236 NA NA
## 237 0.3 NA
## 238 1.4 NA
## 239 0.9 NA
## 240 NA NA
## 241 2.1 NA
## 242 1.9 NA
## 243 1.4 NA
## 244 0.3 NA
## 245 NA NA
## 246 0.6 NA
## 247 1.1 NA
## 248 0.4 NA
## 249 NA NA
## 250 NA NA
## 251 0.7 NA
## 252 0.5 NA
## 253 0.7 NA
## 254 0.6 NA
## 255 0.5 NA
## 256 0.2 NA
## 257 1.6 NA
## 258 <NA> NA
## 259 <NA> NA
## 260 0.3 NA
## 261 1.7 NA
## 262 <NA> NA
## 263 <NA> NA
## 264 1.5 NA
## 265 1.4 NA
## 266 1.5 NA
## 267 <NA> NA
## 268 <NA> NA
## 269 0.6 NA
## 270 0.9 NA
## 271 <NA> NA
## 272 0.7 NA
## 273 <NA> NA
## 274 <NA> NA
## 275 0.5 NA
## 276 0.4 NA
## 277 0.8 NA
## 278 0.7 NA
## 279 0.5 NA
## 280 1.7 NA
## 281 <NA> NA
## 282 <NA> NA
## 283 0.4 NA
## 284 1.7 NA
## 285 1.8 NA
## 286 <NA> NA
## 287 2.2 NA
## 288 2.0 NA
## 289 1.7 NA
## 290 <NA> NA
## 291 1.4 NA
## 292 0.9 NA
## 293 1.4 NA
## 294 0.6 NA
## 295 0.6 NA
## 296 <NA> NA
## 297 1.5 NA
## 298 0.8 NA
## 299 0.5 NA
## 300 0.7 NA
## 301 0.5 NA
## 302 0.4 NA
## 303 1.8 NA
## 304 <NA> NA
## 305 <NA> NA
## 306 0.2 NA
## 307 2.1 NA
## 308 1.1 NA
## 309 <NA> NA
## 310 3.4 NA
## 311 2.7 NA
## 312 1.9 NA
## 313 0.3 NA
## 314 <NA> NA
## 315 0.7 NA
## 316 1.2 NA
## 317 0.5 NA
## 318 0.8 NA
## 319 <NA> NA
## 320 <NA> NA
## 321 0.8 NA
## 322 0.9 NA
## 323 1 NA
## 324 0.9 NA
## 325 0.4 NA
## 326 2.4 NA
## 327 1.6 NA
## 328 <NA> NA
## 329 0.6 NA
## 330 1.3 NA
## 331 2 NA
## 332 <NA> NA
## 333 3.2 NA
## 334 3.1 NA
## 335 2.9 NA
## 336 0.4 NA
## 337 <NA> NA
## 338 1.1 NA
## 339 1.7 NA
## 340 0.8 NA
## 341 0.7 NA
## 342 <NA> NA
## 343 1.1 NA
## 344 1.1 NA
## 345 1.1 NAfoodsecurity_cat3 <- select(filter(foodsecurity2, Category == 'All households with children'),c(Year, Food.insecure.households.percent, Households.with.food.insecure.children.percent, Households.with.very.low.food.security.among.children.percent))
foodsecurity_cat3## Year Food.insecure.households.percent
## 1 2008 21.0
## 2 2009 21.3
## 3 2010 20.2
## 4 2011 20.6
## 5 2012 20.0
## 6 2013 19.5
## 7 2014 19.2
## 8 2015 16.6
## 9 2016 16.5
## 10 2017 15.7
## 11 2018 13.9
## 12 2019 13.6
## 13 2020 14.8
## 14 2021 12.5
## 15 2022 17.3
## Households.with.food.insecure.children.percent
## 1 11.0
## 2 10.6
## 3 9.8
## 4 10.0
## 5 10.0
## 6 9.9
## 7 9.4
## 8 7.8
## 9 8.0
## 10 7.7
## 11 7.1
## 12 6.5
## 13 7.6
## 14 6.2
## 15 8.8
## Households.with.very.low.food.security.among.children.percent
## 1 1.3
## 2 1.2
## 3 1.0
## 4 1.0
## 5 1.2
## 6 0.9
## 7 1.1
## 8 0.7
## 9 0.8
## 10 0.7
## 11 0.6
## 12 0.6
## 13 0.8
## 14 0.7
## 15 1foodsecurity_cat3 <- rename(foodsecurity_cat3,
"Food Insecurity in Household with Children" = "Food.insecure.households.percent",
"Food Insecurity Among Children" = "Households.with.food.insecure.children.percent",
"Very Low food Security Among Children" = "Households.with.very.low.food.security.among.children.percent"
)
foodsecurity_cat3## Year Food Insecurity in Household with Children
## 1 2008 21.0
## 2 2009 21.3
## 3 2010 20.2
## 4 2011 20.6
## 5 2012 20.0
## 6 2013 19.5
## 7 2014 19.2
## 8 2015 16.6
## 9 2016 16.5
## 10 2017 15.7
## 11 2018 13.9
## 12 2019 13.6
## 13 2020 14.8
## 14 2021 12.5
## 15 2022 17.3
## Food Insecurity Among Children Very Low food Security Among Children
## 1 11.0 1.3
## 2 10.6 1.2
## 3 9.8 1.0
## 4 10.0 1.0
## 5 10.0 1.2
## 6 9.9 0.9
## 7 9.4 1.1
## 8 7.8 0.7
## 9 8.0 0.8
## 10 7.7 0.7
## 11 7.1 0.6
## 12 6.5 0.6
## 13 7.6 0.8
## 14 6.2 0.7
## 15 8.8 1x <- foodsecurity_cat3$Year
y1 <- foodsecurity_cat3$"Food Insecurity in Household with Children"
y2 <- foodsecurity_cat3$"Food Insecurity Among Children"
y3 <- foodsecurity_cat3$"Very Low food Security Among Children"
# Create hover text with year, temperature, and rank
hover_text1 <- paste("Year: ", x, "<br>Percent of Households with Children: ", y1)
hover_text2 <- paste("Year: ", x, "<br>Percent of Households with Children: ", y2)
hover_text3 <- paste("Year: ", x, "<br>Percent of Households with Children: ", y3)
# Create the plotly figure
fig <- plot_ly(x = ~x, y = ~y1, type = 'scatter', mode = 'lines+markers', text = hover_text1, hoverinfo = 'text', line = list(color = 'rgb(192, 57, 79)'), name = "Food Insecurity in Household with Children") %>%
add_trace(x = ~x, y = ~y2, type = 'scatter', mode = 'lines+markers', text = hover_text2, hoverinfo = 'text', line = list(color = 'rgb(57, 79, 192)'), name = "Food Insecurity Among Children") %>%
add_trace(x = ~x, y = ~y3, type = 'scatter', mode = 'lines+markers', text = hover_text3, hoverinfo = 'text', line = list(color = 'rgb(79, 192, 57)'), name = "Very Low food Security Among Children")
# Layout adjustments
fig <- fig %>% layout(
xaxis = list(title = "Year", tickmode = "linear"),
yaxis = list(title = "Percent of Households with Children", range = c(0, 22)),
margin = list(b = 100, l = 60, r = 160, t = 80), # Adjust margins for better visibility
height = 540, # Adjust the height of the graph
width = 840, # Adjust the width of the graph
legend = list(x = .70, y = 1.05) # Adjust the legend position
)## Warning: Specifying width/height in layout() is now deprecated.
## Please specify in ggplotly() or plot_ly()# Add HTML-based annotations for title and subtitle
fig <- fig %>% add_annotations(
text = "<b>FOOD INSECURITY IN HOUSEHOLDS WITH CHILDREN IN THE U.S.</b>",
x = 0, xref = "paper",
y = 1.20, yref = "paper", # Adjust the y value to move the title higher
showarrow = FALSE,
font = list(size = 20),
align = "left"
)
fig <- fig %>% add_annotations(
text = "Trends in food insecurity in U.S. households with children, 2008–2022",
x = 0, xref = "paper",
y = 1.12, yref = "paper", # Adjust the y value to move the subtitle higher
showarrow = FALSE,
font = list(size = 14),
align = "left",
width = 800 # Set the width parameter to control text wrapping
)
# Display the figure
fig## Warning: Can't display both discrete & non-discrete data on same axisfoodsecurity_cat4 <- select(filter(foodsecurity2, Category == 'Race/ethnicity of households'),c(Year, Category, Subcategory, Households.with.food.insecure.children.percent))
foodsecurity_cat4## Year Category Subcategory
## 1 2008 Race/ethnicity of households White non-Hispanic
## 2 2008 Race/ethnicity of households Black non-Hispanic
## 3 2008 Race/ethnicity of households Hispanic
## 4 2008 Race/ethnicity of households Other
## 5 2009 Race/ethnicity of households White non-Hispanic
## 6 2009 Race/ethnicity of households Black non-Hispanic
## 7 2009 Race/ethnicity of households Hispanic
## 8 2009 Race/ethnicity of households Other
## 9 2010 Race/ethnicity of households White non-Hispanic
## 10 2010 Race/ethnicity of households Black non-Hispanic
## 11 2010 Race/ethnicity of households Hispanic
## 12 2010 Race/ethnicity of households Other
## 13 2011 Race/ethnicity of households White non-Hispanic
## 14 2011 Race/ethnicity of households Black non-Hispanic
## 15 2011 Race/ethnicity of households Hispanic
## 16 2011 Race/ethnicity of households Other
## 17 2012 Race/ethnicity of households White non-Hispanic
## 18 2012 Race/ethnicity of households Black non-Hispanic
## 19 2012 Race/ethnicity of households Hispanic
## 20 2012 Race/ethnicity of households Other
## 21 2013 Race/ethnicity of households White non-Hispanic
## 22 2013 Race/ethnicity of households Black non-Hispanic
## 23 2013 Race/ethnicity of households Hispanic
## 24 2013 Race/ethnicity of households Other
## 25 2014 Race/ethnicity of households White non-Hispanic
## 26 2014 Race/ethnicity of households Black non-Hispanic
## 27 2014 Race/ethnicity of households Hispanic
## 28 2014 Race/ethnicity of households Other
## 29 2015 Race/ethnicity of households White non-Hispanic
## 30 2015 Race/ethnicity of households Black non-Hispanic
## 31 2015 Race/ethnicity of households Hispanic
## 32 2015 Race/ethnicity of households Other
## 33 2016 Race/ethnicity of households White non-Hispanic
## 34 2016 Race/ethnicity of households Black non-Hispanic
## 35 2016 Race/ethnicity of households Hispanic
## 36 2016 Race/ethnicity of households Other
## 37 2017 Race/ethnicity of households White non-Hispanic
## 38 2017 Race/ethnicity of households Black non-Hispanic
## 39 2017 Race/ethnicity of households Hispanic
## 40 2017 Race/ethnicity of households Other
## 41 2018 Race/ethnicity of households White non-Hispanic
## 42 2018 Race/ethnicity of households Black non-Hispanic
## 43 2018 Race/ethnicity of households Hispanic
## 44 2018 Race/ethnicity of households Other
## 45 2019 Race/ethnicity of households White non-Hispanic
## 46 2019 Race/ethnicity of households Black non-Hispanic
## 47 2019 Race/ethnicity of households Hispanic
## 48 2019 Race/ethnicity of households Other
## 49 2020 Race/ethnicity of households White non-Hispanic
## 50 2020 Race/ethnicity of households Black non-Hispanic
## 51 2020 Race/ethnicity of households Hispanic
## 52 2020 Race/ethnicity of households Other
## 53 2021 Race/ethnicity of households White non-Hispanic
## 54 2021 Race/ethnicity of households Black non-Hispanic
## 55 2021 Race/ethnicity of households Hispanic
## 56 2021 Race/ethnicity of households Other
## 57 2022 Race/ethnicity of households White non-Hispanic
## 58 2022 Race/ethnicity of households Black non-Hispanic
## 59 2022 Race/ethnicity of households Hispanic
## 60 2022 Race/ethnicity of households Other
## Households.with.food.insecure.children.percent
## 1 7.2
## 2 18.7
## 3 18.1
## 4 9.3
## 5 7.0
## 6 17.2
## 7 18.7
## 8 8.4
## 9 6.1
## 10 16.3
## 11 17.0
## 12 8.8
## 13 6.7
## 14 14.6
## 15 17.4
## 16 8.8
## 17 7.4
## 18 15.0
## 19 14.6
## 20 8.5
## 21 7.0
## 22 17.3
## 23 14.6
## 24 6.7
## 25 6.5
## 26 16.1
## 27 14.0
## 28 6.8
## 29 5.9
## 30 10.7
## 31 11.5
## 32 6.0
## 33 5.6
## 34 13.4
## 35 11.6
## 36 6.7
## 37 5.6
## 38 13.1
## 39 10.7
## 40 5.8
## 41 5.1
## 42 14.8
## 43 8.3
## 44 4.8
## 45 5.0
## 46 11.9
## 47 7.8
## 48 4.5
## 49 4.6
## 50 13.0
## 51 12.2
## 52 6.1
## 53 3.4
## 54 12.0
## 55 9.7
## 56 6.1
## 57 5.5
## 58 15.8
## 59 13.2
## 60 6.5foodsecurity_cat4 <- rename(foodsecurity_cat4,
"Food Insecurity Among Children" = "Households.with.food.insecure.children.percent")
foodsecurity_cat4## Year Category Subcategory
## 1 2008 Race/ethnicity of households White non-Hispanic
## 2 2008 Race/ethnicity of households Black non-Hispanic
## 3 2008 Race/ethnicity of households Hispanic
## 4 2008 Race/ethnicity of households Other
## 5 2009 Race/ethnicity of households White non-Hispanic
## 6 2009 Race/ethnicity of households Black non-Hispanic
## 7 2009 Race/ethnicity of households Hispanic
## 8 2009 Race/ethnicity of households Other
## 9 2010 Race/ethnicity of households White non-Hispanic
## 10 2010 Race/ethnicity of households Black non-Hispanic
## 11 2010 Race/ethnicity of households Hispanic
## 12 2010 Race/ethnicity of households Other
## 13 2011 Race/ethnicity of households White non-Hispanic
## 14 2011 Race/ethnicity of households Black non-Hispanic
## 15 2011 Race/ethnicity of households Hispanic
## 16 2011 Race/ethnicity of households Other
## 17 2012 Race/ethnicity of households White non-Hispanic
## 18 2012 Race/ethnicity of households Black non-Hispanic
## 19 2012 Race/ethnicity of households Hispanic
## 20 2012 Race/ethnicity of households Other
## 21 2013 Race/ethnicity of households White non-Hispanic
## 22 2013 Race/ethnicity of households Black non-Hispanic
## 23 2013 Race/ethnicity of households Hispanic
## 24 2013 Race/ethnicity of households Other
## 25 2014 Race/ethnicity of households White non-Hispanic
## 26 2014 Race/ethnicity of households Black non-Hispanic
## 27 2014 Race/ethnicity of households Hispanic
## 28 2014 Race/ethnicity of households Other
## 29 2015 Race/ethnicity of households White non-Hispanic
## 30 2015 Race/ethnicity of households Black non-Hispanic
## 31 2015 Race/ethnicity of households Hispanic
## 32 2015 Race/ethnicity of households Other
## 33 2016 Race/ethnicity of households White non-Hispanic
## 34 2016 Race/ethnicity of households Black non-Hispanic
## 35 2016 Race/ethnicity of households Hispanic
## 36 2016 Race/ethnicity of households Other
## 37 2017 Race/ethnicity of households White non-Hispanic
## 38 2017 Race/ethnicity of households Black non-Hispanic
## 39 2017 Race/ethnicity of households Hispanic
## 40 2017 Race/ethnicity of households Other
## 41 2018 Race/ethnicity of households White non-Hispanic
## 42 2018 Race/ethnicity of households Black non-Hispanic
## 43 2018 Race/ethnicity of households Hispanic
## 44 2018 Race/ethnicity of households Other
## 45 2019 Race/ethnicity of households White non-Hispanic
## 46 2019 Race/ethnicity of households Black non-Hispanic
## 47 2019 Race/ethnicity of households Hispanic
## 48 2019 Race/ethnicity of households Other
## 49 2020 Race/ethnicity of households White non-Hispanic
## 50 2020 Race/ethnicity of households Black non-Hispanic
## 51 2020 Race/ethnicity of households Hispanic
## 52 2020 Race/ethnicity of households Other
## 53 2021 Race/ethnicity of households White non-Hispanic
## 54 2021 Race/ethnicity of households Black non-Hispanic
## 55 2021 Race/ethnicity of households Hispanic
## 56 2021 Race/ethnicity of households Other
## 57 2022 Race/ethnicity of households White non-Hispanic
## 58 2022 Race/ethnicity of households Black non-Hispanic
## 59 2022 Race/ethnicity of households Hispanic
## 60 2022 Race/ethnicity of households Other
## Food Insecurity Among Children
## 1 7.2
## 2 18.7
## 3 18.1
## 4 9.3
## 5 7.0
## 6 17.2
## 7 18.7
## 8 8.4
## 9 6.1
## 10 16.3
## 11 17.0
## 12 8.8
## 13 6.7
## 14 14.6
## 15 17.4
## 16 8.8
## 17 7.4
## 18 15.0
## 19 14.6
## 20 8.5
## 21 7.0
## 22 17.3
## 23 14.6
## 24 6.7
## 25 6.5
## 26 16.1
## 27 14.0
## 28 6.8
## 29 5.9
## 30 10.7
## 31 11.5
## 32 6.0
## 33 5.6
## 34 13.4
## 35 11.6
## 36 6.7
## 37 5.6
## 38 13.1
## 39 10.7
## 40 5.8
## 41 5.1
## 42 14.8
## 43 8.3
## 44 4.8
## 45 5.0
## 46 11.9
## 47 7.8
## 48 4.5
## 49 4.6
## 50 13.0
## 51 12.2
## 52 6.1
## 53 3.4
## 54 12.0
## 55 9.7
## 56 6.1
## 57 5.5
## 58 15.8
## 59 13.2
## 60 6.5library(plotly)
foodsecurity_cat4$`Food Insecurity Among Children` <- as.numeric(foodsecurity_cat4$`Food Insecurity Among Children`)
plot_ly(
data = foodsecurity_cat4,
x = ~Year,
y = ~`Food Insecurity Among Children`,
color = ~Subcategory,
type = 'scatter',
mode = 'lines+markers',
text = ~paste("Year: ", Year, "Food Insecurity Among Children: ", `Food Insecurity Among Children`, ""),
hoverinfo = 'text'
) %>%
layout(
title = list(
text = "<b>FOOD INSECURITY AMONG CHILDREN BY RACE AND ETHNICITY IN THE U.S.<b>",
x = -.10 # Adjust the x value to move the title more to the left
),
xaxis = list(title = "Year"),
yaxis = list(title = "Food Insecurity Among Children"),
legend = list(x = 1.00, y = 1),
margin = list(b = 60, l = 60, r = 60, t = 60),
height = 400,
width = 800,
annotations = list(
list(
text = "Food Insecurity among children by race and ethnicity of head of household, 2008 - 2022",
x = 1.01, y = 1.10,
xref = "paper", yref = "paper",
showarrow = FALSE,
font = list(size = 14)
)
)
)## Warning: Specifying width/height in layout() is now deprecated.
## Please specify in ggplotly() or plot_ly()foodsecurity_cat5 <- select(filter(foodsecurity2, Category == 'Household composition'),c(Year, Category, Subcategory, Food.insecure.households.percent))
foodsecurity_cat5## Year Category Subcategory
## 1 2008 Household composition With children < 6 years
## 2 2008 Household composition Married-couple families
## 3 2008 Household composition Female head, no spouse
## 4 2008 Household composition Male head, no spouse
## 5 2008 Household composition Other household with child
## 6 2009 Household composition With children < 6 years
## 7 2009 Household composition Married-couple families
## 8 2009 Household composition Female head, no spouse
## 9 2009 Household composition Male head, no spouse
## 10 2009 Household composition Other household with child
## 11 2010 Household composition With children < 6 years
## 12 2010 Household composition Married-couple families
## 13 2010 Household composition Female head, no spouse
## 14 2010 Household composition Male head, no spouse
## 15 2010 Household composition Other household with child
## 16 2011 Household composition With children < 6 years
## 17 2011 Household composition Married-couple families
## 18 2011 Household composition Female head, no spouse
## 19 2011 Household composition Male head, no spouse
## 20 2011 Household composition Other household with child
## 21 2012 Household composition With children < 6 years
## 22 2012 Household composition Married-couple families
## 23 2012 Household composition Female head, no spouse
## 24 2012 Household composition Male head, no spouse
## 25 2012 Household composition Other household with child
## 26 2013 Household composition With children < 6 years
## 27 2013 Household composition Married-couple families
## 28 2013 Household composition Female head, no spouse
## 29 2013 Household composition Male head, no spouse
## 30 2013 Household composition Other household with child
## 31 2014 Household composition With children < 6 years
## 32 2014 Household composition Married-couple families
## 33 2014 Household composition Female head, no spouse
## 34 2014 Household composition Male head, no spouse
## 35 2014 Household composition Other household with child
## 36 2015 Household composition With children < 6 years
## 37 2015 Household composition Married-couple families
## 38 2015 Household composition Female head, no spouse
## 39 2015 Household composition Male head, no spouse
## 40 2015 Household composition Other household with child
## 41 2016 Household composition With children < 6 years
## 42 2016 Household composition Married-couple families
## 43 2016 Household composition Female head, no spouse
## 44 2016 Household composition Male head, no spouse
## 45 2016 Household composition Other household with child
## 46 2017 Household composition With children < 6 years
## 47 2017 Household composition Married-couple families
## 48 2017 Household composition Female head, no spouse
## 49 2017 Household composition Male head, no spouse
## 50 2017 Household composition Other household with child
## 51 2018 Household composition With children < 6 years
## 52 2018 Household composition Married-couple families
## 53 2018 Household composition Female head, no spouse
## 54 2018 Household composition Male head, no spouse
## 55 2018 Household composition Other household with child
## 56 2019 Household composition With children < 6 years
## 57 2019 Household composition Married-couple families
## 58 2019 Household composition Female head, no spouse
## 59 2019 Household composition Male head, no spouse
## 60 2019 Household composition Other household with child
## 61 2020 Household composition With children < 6 years
## 62 2020 Household composition Married-couple families
## 63 2020 Household composition Female head, no spouse
## 64 2020 Household composition Male head, no spouse
## 65 2020 Household composition Other household with child
## 66 2021 Household composition With children < 6 years
## 67 2021 Household composition Married-couple families
## 68 2021 Household composition Female head, no spouse
## 69 2021 Household composition Male head, no spouse
## 70 2021 Household composition Other household with child
## 71 2022 Household composition With children < 6 years
## 72 2022 Household composition Married-couple families
## 73 2022 Household composition Female head, no spouse
## 74 2022 Household composition Male head, no spouse
## 75 2022 Household composition Other household with child
## Food.insecure.households.percent
## 1 22.3
## 2 14.3
## 3 37.2
## 4 27.6
## 5 29.2
## 6 22.9
## 7 14.7
## 8 36.6
## 9 27.8
## 10 32.6
## 11 21.8
## 12 13.8
## 13 35.1
## 14 25.4
## 15 20.8
## 16 21.9
## 17 13.9
## 18 36.8
## 19 24.8
## 20 19.0
## 21 20.5
## 22 13.2
## 23 35.4
## 24 23.6
## 25 24.5
## 26 20.9
## 27 12.8
## 28 34.4
## 29 23.1
## 30 30.6
## 31 19.9
## 32 12.4
## 33 35.3
## 34 21.7
## 35 24.4
## 36 16.9
## 37 10.2
## 38 30.3
## 39 22.4
## 40 26.2
## 41 16.6
## 42 9.9
## 43 31.6
## 44 21.8
## 45 22.2
## 46 16.4
## 47 9.5
## 48 30.3
## 49 19.7
## 50 18.1
## 51 14.3
## 52 8.3
## 53 27.8
## 54 16.0
## 55 21.1
## 56 14.5
## 57 7.5
## 58 28.7
## 59 15.4
## 60 17.5
## 61 15.3
## 62 9.5
## 63 27.7
## 64 16.3
## 65 12.3
## 66 12.9
## 67 7.4
## 68 24.3
## 69 16.2
## 70 16.4
## 71 16.7
## 72 10.7
## 73 33.1
## 74 21.2
## 75 18.5library(plotly)
# Convert to numeric
foodsecurity_cat5$Food.insecure.households.percent <- as.numeric(foodsecurity_cat5$Food.insecure.households.percent)
plot_ly(
data = foodsecurity_cat5,
x = ~Year,
y = ~Food.insecure.households.percent,
color = ~Subcategory,
type = 'scatter',
mode = 'lines+markers',
text = ~paste("Year: ", Year, "<br>Food Insecure Households Percent: ", Food.insecure.households.percent),
hoverinfo = 'text',
width = 800,
height = 400
) %>%
layout(
title = list(
text = "<b>FOOD INSECURITY BY HOUSEHOLD COMPOSITION IN THE U.S.</b>",
x = 0.0 # Adjust the x value to move the title more to the left
),
xaxis = list(
title = "Year",
tickmode = "linear", # Set tick mode to linear
dtick = 1 # Set the tick interval to 1 year
),
yaxis = list(title = "Food Insecurity Households Percent"),
legend = list(x = 1.00, y = 1),
margin = list(b = 60, l = 60, r = 60, t = 60),
annotations = list(
list(
text = "Food Insecurity by household composition, 2008 - 2022",
x = 0.0, y = 1.10,
xref = "paper", yref = "paper",
showarrow = FALSE,
font = list(size = 14)
)
)
)foodsecurity_cat6 <- select(filter(foodsecurity2, Category == 'Household composition'),c(Year, Category, Subcategory, Households.with.food.insecure.children.percent))
foodsecurity_cat6## Year Category Subcategory
## 1 2008 Household composition With children < 6 years
## 2 2008 Household composition Married-couple families
## 3 2008 Household composition Female head, no spouse
## 4 2008 Household composition Male head, no spouse
## 5 2008 Household composition Other household with child
## 6 2009 Household composition With children < 6 years
## 7 2009 Household composition Married-couple families
## 8 2009 Household composition Female head, no spouse
## 9 2009 Household composition Male head, no spouse
## 10 2009 Household composition Other household with child
## 11 2010 Household composition With children < 6 years
## 12 2010 Household composition Married-couple families
## 13 2010 Household composition Female head, no spouse
## 14 2010 Household composition Male head, no spouse
## 15 2010 Household composition Other household with child
## 16 2011 Household composition With children < 6 years
## 17 2011 Household composition Married-couple families
## 18 2011 Household composition Female head, no spouse
## 19 2011 Household composition Male head, no spouse
## 20 2011 Household composition Other household with child
## 21 2012 Household composition With children < 6 years
## 22 2012 Household composition Married-couple families
## 23 2012 Household composition Female head, no spouse
## 24 2012 Household composition Male head, no spouse
## 25 2012 Household composition Other household with child
## 26 2013 Household composition With children < 6 years
## 27 2013 Household composition Married-couple families
## 28 2013 Household composition Female head, no spouse
## 29 2013 Household composition Male head, no spouse
## 30 2013 Household composition Other household with child
## 31 2014 Household composition With children < 6 years
## 32 2014 Household composition Married-couple families
## 33 2014 Household composition Female head, no spouse
## 34 2014 Household composition Male head, no spouse
## 35 2014 Household composition Other household with child
## 36 2015 Household composition With children < 6 years
## 37 2015 Household composition Married-couple families
## 38 2015 Household composition Female head, no spouse
## 39 2015 Household composition Male head, no spouse
## 40 2015 Household composition Other household with child
## 41 2016 Household composition With children < 6 years
## 42 2016 Household composition Married-couple families
## 43 2016 Household composition Female head, no spouse
## 44 2016 Household composition Male head, no spouse
## 45 2016 Household composition Other household with child
## 46 2017 Household composition With children < 6 years
## 47 2017 Household composition Married-couple families
## 48 2017 Household composition Female head, no spouse
## 49 2017 Household composition Male head, no spouse
## 50 2017 Household composition Other household with child
## 51 2018 Household composition With children < 6 years
## 52 2018 Household composition Married-couple families
## 53 2018 Household composition Female head, no spouse
## 54 2018 Household composition Male head, no spouse
## 55 2018 Household composition Other household with child
## 56 2019 Household composition With children < 6 years
## 57 2019 Household composition Married-couple families
## 58 2019 Household composition Female head, no spouse
## 59 2019 Household composition Male head, no spouse
## 60 2019 Household composition Other household with child
## 61 2020 Household composition With children < 6 years
## 62 2020 Household composition Married-couple families
## 63 2020 Household composition Female head, no spouse
## 64 2020 Household composition Male head, no spouse
## 65 2020 Household composition Other household with child
## 66 2021 Household composition With children < 6 years
## 67 2021 Household composition Married-couple families
## 68 2021 Household composition Female head, no spouse
## 69 2021 Household composition Male head, no spouse
## 70 2021 Household composition Other household with child
## 71 2022 Household composition With children < 6 years
## 72 2022 Household composition Married-couple families
## 73 2022 Household composition Female head, no spouse
## 74 2022 Household composition Male head, no spouse
## 75 2022 Household composition Other household with child
## Households.with.food.insecure.children.percent
## 1 10.9
## 2 7.2
## 3 21.5
## 4 11.1
## 5 12.5
## 6 10.6
## 7 7.0
## 8 19.3
## 9 13.1
## 10 16.8
## 11 10.0
## 12 6.4
## 13 17.7
## 14 11.8
## 15 13.5
## 16 9.7
## 17 6.3
## 18 18.9
## 19 12.1
## 20 7.2
## 21 9.1
## 22 6.3
## 23 18.7
## 24 10.9
## 25 9.4
## 26 9.8
## 27 6.5
## 28 17.8
## 29 10.9
## 30 15.4
## 31 9.1
## 32 5.7
## 33 18.5
## 34 10.6
## 35 9.7
## 36 6.9
## 37 4.5
## 38 14.9
## 39 10.0
## 40 11.5
## 41 8.0
## 42 4.7
## 43 16.0
## 44 9.2
## 45 8.7
## 46 7.9
## 47 4.3
## 48 16.1
## 49 8.6
## 50 10.2
## 51 6.7
## 52 3.5
## 53 15.9
## 54 8.3
## 55 NA
## 56 6.2
## 57 3.2
## 58 15.3
## 59 6.5
## 60 <NA>
## 61 7.0
## 62 4.6
## 63 14.8
## 64 8.4
## 65 <NA>
## 66 6.5
## 67 3.8
## 68 12.1
## 69 7.5
## 70 <NA>
## 71 8.6
## 72 5
## 73 18.2
## 74 10.6
## 75 <NA>foodsecurity_cat6_row <- foodsecurity_cat6<- foodsecurity_cat6[-c(1, 5, 6, 10, 11, 15, 16, 20, 21, 25, 26, 30, 31, 35, 36, 40, 41, 45, 46, 50, 51, 55, 56, 60, 61, 65, 66, 70, 71, 75), ]
foodsecurity_cat6_row## Year Category Subcategory
## 2 2008 Household composition Married-couple families
## 3 2008 Household composition Female head, no spouse
## 4 2008 Household composition Male head, no spouse
## 7 2009 Household composition Married-couple families
## 8 2009 Household composition Female head, no spouse
## 9 2009 Household composition Male head, no spouse
## 12 2010 Household composition Married-couple families
## 13 2010 Household composition Female head, no spouse
## 14 2010 Household composition Male head, no spouse
## 17 2011 Household composition Married-couple families
## 18 2011 Household composition Female head, no spouse
## 19 2011 Household composition Male head, no spouse
## 22 2012 Household composition Married-couple families
## 23 2012 Household composition Female head, no spouse
## 24 2012 Household composition Male head, no spouse
## 27 2013 Household composition Married-couple families
## 28 2013 Household composition Female head, no spouse
## 29 2013 Household composition Male head, no spouse
## 32 2014 Household composition Married-couple families
## 33 2014 Household composition Female head, no spouse
## 34 2014 Household composition Male head, no spouse
## 37 2015 Household composition Married-couple families
## 38 2015 Household composition Female head, no spouse
## 39 2015 Household composition Male head, no spouse
## 42 2016 Household composition Married-couple families
## 43 2016 Household composition Female head, no spouse
## 44 2016 Household composition Male head, no spouse
## 47 2017 Household composition Married-couple families
## 48 2017 Household composition Female head, no spouse
## 49 2017 Household composition Male head, no spouse
## 52 2018 Household composition Married-couple families
## 53 2018 Household composition Female head, no spouse
## 54 2018 Household composition Male head, no spouse
## 57 2019 Household composition Married-couple families
## 58 2019 Household composition Female head, no spouse
## 59 2019 Household composition Male head, no spouse
## 62 2020 Household composition Married-couple families
## 63 2020 Household composition Female head, no spouse
## 64 2020 Household composition Male head, no spouse
## 67 2021 Household composition Married-couple families
## 68 2021 Household composition Female head, no spouse
## 69 2021 Household composition Male head, no spouse
## 72 2022 Household composition Married-couple families
## 73 2022 Household composition Female head, no spouse
## 74 2022 Household composition Male head, no spouse
## Households.with.food.insecure.children.percent
## 2 7.2
## 3 21.5
## 4 11.1
## 7 7.0
## 8 19.3
## 9 13.1
## 12 6.4
## 13 17.7
## 14 11.8
## 17 6.3
## 18 18.9
## 19 12.1
## 22 6.3
## 23 18.7
## 24 10.9
## 27 6.5
## 28 17.8
## 29 10.9
## 32 5.7
## 33 18.5
## 34 10.6
## 37 4.5
## 38 14.9
## 39 10.0
## 42 4.7
## 43 16.0
## 44 9.2
## 47 4.3
## 48 16.1
## 49 8.6
## 52 3.5
## 53 15.9
## 54 8.3
## 57 3.2
## 58 15.3
## 59 6.5
## 62 4.6
## 63 14.8
## 64 8.4
## 67 3.8
## 68 12.1
## 69 7.5
## 72 5
## 73 18.2
## 74 10.6foodsecurity_cat6_index <- foodsecurity_cat6_row # Duplicate data
rownames(foodsecurity_cat6_index) <- 1:nrow(foodsecurity_cat6_index) # Assign sequence to row names
foodsecurity_cat6_index ## Year Category Subcategory
## 1 2008 Household composition Married-couple families
## 2 2008 Household composition Female head, no spouse
## 3 2008 Household composition Male head, no spouse
## 4 2009 Household composition Married-couple families
## 5 2009 Household composition Female head, no spouse
## 6 2009 Household composition Male head, no spouse
## 7 2010 Household composition Married-couple families
## 8 2010 Household composition Female head, no spouse
## 9 2010 Household composition Male head, no spouse
## 10 2011 Household composition Married-couple families
## 11 2011 Household composition Female head, no spouse
## 12 2011 Household composition Male head, no spouse
## 13 2012 Household composition Married-couple families
## 14 2012 Household composition Female head, no spouse
## 15 2012 Household composition Male head, no spouse
## 16 2013 Household composition Married-couple families
## 17 2013 Household composition Female head, no spouse
## 18 2013 Household composition Male head, no spouse
## 19 2014 Household composition Married-couple families
## 20 2014 Household composition Female head, no spouse
## 21 2014 Household composition Male head, no spouse
## 22 2015 Household composition Married-couple families
## 23 2015 Household composition Female head, no spouse
## 24 2015 Household composition Male head, no spouse
## 25 2016 Household composition Married-couple families
## 26 2016 Household composition Female head, no spouse
## 27 2016 Household composition Male head, no spouse
## 28 2017 Household composition Married-couple families
## 29 2017 Household composition Female head, no spouse
## 30 2017 Household composition Male head, no spouse
## 31 2018 Household composition Married-couple families
## 32 2018 Household composition Female head, no spouse
## 33 2018 Household composition Male head, no spouse
## 34 2019 Household composition Married-couple families
## 35 2019 Household composition Female head, no spouse
## 36 2019 Household composition Male head, no spouse
## 37 2020 Household composition Married-couple families
## 38 2020 Household composition Female head, no spouse
## 39 2020 Household composition Male head, no spouse
## 40 2021 Household composition Married-couple families
## 41 2021 Household composition Female head, no spouse
## 42 2021 Household composition Male head, no spouse
## 43 2022 Household composition Married-couple families
## 44 2022 Household composition Female head, no spouse
## 45 2022 Household composition Male head, no spouse
## Households.with.food.insecure.children.percent
## 1 7.2
## 2 21.5
## 3 11.1
## 4 7.0
## 5 19.3
## 6 13.1
## 7 6.4
## 8 17.7
## 9 11.8
## 10 6.3
## 11 18.9
## 12 12.1
## 13 6.3
## 14 18.7
## 15 10.9
## 16 6.5
## 17 17.8
## 18 10.9
## 19 5.7
## 20 18.5
## 21 10.6
## 22 4.5
## 23 14.9
## 24 10.0
## 25 4.7
## 26 16.0
## 27 9.2
## 28 4.3
## 29 16.1
## 30 8.6
## 31 3.5
## 32 15.9
## 33 8.3
## 34 3.2
## 35 15.3
## 36 6.5
## 37 4.6
## 38 14.8
## 39 8.4
## 40 3.8
## 41 12.1
## 42 7.5
## 43 5
## 44 18.2
## 45 10.6library(plotly)
# Convert to numeric
foodsecurity_cat6$Households.with.food.insecure.children.percent <- as.numeric(foodsecurity_cat6$Households.with.food.insecure.children.percent)
plot_ly(
data = foodsecurity_cat6,
x = ~Year,
y = ~Households.with.food.insecure.children.percent,
color = ~Subcategory,
type = 'scatter',
mode = 'lines+markers',
text = ~paste("Year: ", Year, "<br>Households.with.food.insecure.children.percent: ", Households.with.food.insecure.children.percent),
hoverinfo = 'text',
width = 800,
height = 400
) %>%
layout(
title = list(
text = "<b>FOOD INSECURITY AMONG CHILDREN BY HOUSEHOLD COMPOSITION IN THE U.S.</b>",
x = 0.0 # Adjust the x value to move the title more to the left
),
xaxis = list(
title = "Year",
tickmode = "linear", # Set tick mode to linear
dtick = 1 # Set the tick interval to 1 year
),
yaxis = list(title = "Percent of Households with Children"),
legend = list(x = 1.00, y = 1),
margin = list(b = 60, l = 60, r = 60, t = 60),
annotations = list(
list(
text = "Food Insecurity among children by household composition, 2008 - 2022",
x = 0.0, y = 1.10,
xref = "paper", yref = "paper",
showarrow = FALSE,
font = list(size = 14)
)
)
)foodsecurity3 = read.csv("https://raw.githubusercontent.com/enidroman/Data_608_Knowledge_and_Visual_Analytics/main/education_emp_disability_2017_to_2022.csv")
foodsecurity3## Year Category Subcategory
## 1 2017 All households All households
## 2 2017 All households Employment
## 3 2017 All households Employment
## 4 2017 All households Employment
## 5 2017 All households Employment
## 6 2017 All households Employment
## 7 2017 All households Employment
## 8 2017 All households Employment
## 9 2017 All households Education
## 10 2017 All households Education
## 11 2017 All households Education
## 12 2017 All households Education
## 13 2017 All households Disability status
## 14 2017 All households Disability status
## 15 2017 All households Disability status
## 16 2017 All households Disability status
## 17 2017 185 percent of poverty SNAP participation
## 18 2017 185 percent of poverty SNAP participation
## 19 2017 130 percent of poverty SNAP participation
## 20 2017 130 percent of poverty SNAP participation
## 21 2017 100 percent of poverty SNAP participation
## 22 2017 100 percent of poverty SNAP participation
## 23 2018 All households All households
## 24 2018 All households Employment
## 25 2018 All households Employment
## 26 2018 All households Employment
## 27 2018 All households Employment
## 28 2018 All households Employment
## 29 2018 All households Employment
## 30 2018 All households Employment
## 31 2018 All households Education
## 32 2018 All households Education
## 33 2018 All households Education
## 34 2018 All households Education
## 35 2018 All households Disability status
## 36 2018 All households Disability status
## 37 2018 All households Disability status
## 38 2018 All households Disability status
## 39 2018 185 percent of poverty SNAP participation
## 40 2018 185 percent of poverty SNAP participation
## 41 2018 130 percent of poverty SNAP participation
## 42 2018 130 percent of poverty SNAP participation
## 43 2018 100 percent of poverty SNAP participation
## 44 2018 100 percent of poverty SNAP participation
## 45 2019 All households All households
## 46 2019 All households Employment
## 47 2019 All households Employment
## 48 2019 All households Employment
## 49 2019 All households Employment
## 50 2019 All households Employment
## 51 2019 All households Employment
## 52 2019 All households Employment
## 53 2019 All households Education
## 54 2019 All households Education
## 55 2019 All households Education
## 56 2019 All households Education
## 57 2019 All households Disability status
## 58 2019 All households Disability status
## 59 2019 All households Disability status
## 60 2019 All households Disability status
## 61 2019 185 percent of poverty SNAP participation
## 62 2019 185 percent of poverty SNAP participation
## 63 2019 130 percent of poverty SNAP participation
## 64 2019 130 percent of poverty SNAP participation
## 65 2019 100 percent of poverty SNAP participation
## 66 2019 100 percent of poverty SNAP participation
## 67 2020 All households All households
## 68 2020 All households Employment
## 69 2020 All households Employment
## 70 2020 All households Employment
## 71 2020 All households Employment
## 72 2020 All households Employment
## 73 2020 All households Employment
## 74 2020 All households Employment
## 75 2020 All households Education
## 76 2020 All households Education
## 77 2020 All households Education
## 78 2020 All households Education
## 79 2020 All households Disability status
## 80 2020 All households Disability status
## 81 2020 All households Disability status
## 82 2020 All households Disability status
## 83 2021 All households All households
## 84 2021 All households Employment
## 85 2021 All households Employment
## 86 2021 All households Employment
## 87 2021 All households Employment
## 88 2021 All households Employment
## 89 2021 All households Employment
## 90 2021 All households Employment
## 91 2021 All households Education
## 92 2021 All households Education
## 93 2021 All households Education
## 94 2021 All households Education
## 95 2021 All households Disability status
## 96 2021 All households Disability status
## 97 2021 All households Disability status
## 98 2021 All households Disability status
## 99 2022 All households All households
## 100 2022 All households Employment
## 101 2022 All households Employment
## 102 2022 All households Employment
## 103 2022 All households Employment
## 104 2022 All households Employment
## 105 2022 All households Employment
## 106 2022 All households Employment
## 107 2022 All households Education
## 108 2022 All households Education
## 109 2022 All households Education
## 110 2022 All households Education
## 111 2022 All households Disability status
## 112 2022 All households Disability status
## 113 2022 All households Disability status
## 114 2022 All households Disability status
## Sub.subcategory Total Food.insecure.1.000
## 1 All households 127272 15018
## 2 Full-time 83681 7871
## 3 Retired 26903 2002
## 4 Part-time non-economic reasons 5673 1055
## 5 Part-time economic reasons 1162 447
## 6 Unemployed 1814 775
## 7 Disabled 5269 2265
## 8 Not in labor force 2772 603
## 9 Less than high school 7348 1928
## 10 High School 27654 4851
## 11 Some College 36490 5548
## 12 College or more 55780 2690
## 13 Not in labor force due to disability 11569 3731
## 14 Other disability among adults 18-64 6563 1444
## 15 Other disability among adults 65+ 10926 979
## 16 No adult with disabilities 98214 8863
## 17 Received SNAP 7301 3526
## 18 Did NOT receive SNAP 19385 4658
## 19 Received SNAP 6093 3045
## 20 Did NOT receive SNAP 10908 2817
## 21 Received SNAP 5160 2600
## 22 Did NOT receive SNAP 7501 2068
## 23 All households 129245 14311
## 24 Full-time 85721 7563
## 25 Retired 27021 1886
## 26 Part-time non-economic reasons 5592 1037
## 27 Part-time economic reasons 1170 400
## 28 Unemployed 1817 617
## 29 Disabled 5060 2228
## 30 Not in labor force 2864 580
## 31 Less than high school 7490 1884
## 32 High School 27226 4518
## 33 Some College 36018 5217
## 34 College or more 58511 2692
## 35 Not in labor force due to disability 11534 3802
## 36 Other disability among adults 18-64 6767 1514
## 37 Other disability among adults 65+ 11077 876
## 38 No adult with disabilities 99866 8119
## 39 Received SNAP 6899 3176
## 40 Did NOT receive SNAP 19590 4530
## 41 Received SNAP 5830 2743
## 42 Did NOT receive SNAP 10961 2819
## 43 Received SNAP 4776 2307
## 44 Did NOT receive SNAP 7188 1913
## 45 All households 129621 13662
## 46 Full-time 86032 6964
## 47 Retired 27815 2002
## 48 Part-time non-economic reasons 5828 940
## 49 Part-time economic reasons 876 364
## 50 Unemployed 1583 604
## 51 Disabled 5016 2213
## 52 Not in labor force 2470 574
## 53 Less than high school 6783 1809
## 54 High School 27039 4252
## 55 Some College 36435 4865
## 56 College or more 59364 2736
## 57 Not in labor force due to disability 11630 3668
## 58 Other disability among adults 18-64 6590 1492
## 59 Other disability among adults 65+ 11538 891
## 60 No adult with disabilities 99863 7610
## 61 Received SNAP 6656 3145
## 62 Did NOT receive SNAP 19724 4144
## 63 Received SNAP 5382 2653
## 64 Did NOT receive SNAP 10298 2535
## 65 Received SNAP 4408 2159
## 66 Did NOT receive SNAP 6695 1708
## 67 All households 130459 13754
## 68 Full-time 83779 6863
## 69 Retired 29258 1774
## 70 Part-time non-economic reasons 5337 930
## 71 Part-time economic reasons 1459 597
## 72 Unemployed 3125 1053
## 73 Disabled 4504 1666
## 74 Not in labor force 2997 870
## 75 Less than high school 6232 1561
## 76 High School 27258 4611
## 77 Some College 35977 4826
## 78 College or more 60992 2756
## 79 Not in labor force due to disability 10764 3133
## 80 Other disability among adults 18-64 6896 1423
## 81 Other disability among adults 65+ 11153 789
## 82 No adult with disabilities 101646 8409
## 83 All households 132043 13510
## 84 Full-time 85879 7100
## 85 Retired 30179 2053
## 86 Part-time non-economic reasons 5674 927
## 87 Part-time economic reasons 833 344
## 88 Unemployed 1777 573
## 89 Disabled 4738 1776
## 90 Not in labor force 2963 736
## 91 Less than high school 6043 1505
## 92 High School 28607 4460
## 93 Some College 35637 4686
## 94 College or more 61756 2858
## 95 Not in labor force due to disability 10769 3026
## 96 Other disability among adults 18-64 8041 1947
## 97 Other disability among adults 65+ 12410 1074
## 98 No adult with disabilities 100823 7462
## 99 All households 132730 16980
## 100 Full-time 86754 9399
## 101 Retired 30465 2673
## 102 Part-time non-economic reasons 5832 1178
## 103 Part-time economic reasons 796 282
## 104 Unemployed 1624 796
## 105 Disabled 4376 1843
## 106 Not in labor force 2884 810
## 107 Less than high school 6158 1866
## 108 High School 27512 5386
## 109 Some College 35932 5906
## 110 College or more 63128 3822
## 111 Not in labor force due to disability 10183 3330
## 112 Other disability among adults 18-64 8378 2137
## 113 Other disability among adults 65+ 12326 1403
## 114 No adult with disabilities 101842 10111
## Food.insecure.percent Food.insecure.share Very.low.food.security.1.000
## 1 11.8 100.0 5757
## 2 9.4 52.4 2448
## 3 7.4 13.3 861
## 4 18.6 7.0 421
## 5 38.5 3.0 168
## 6 42.7 5.2 349
## 7 43.0 15.1 1258
## 8 21.7 4.0 252
## 9 26.2 12.8 800
## 10 17.5 32.3 1890
## 11 15.2 36.9 2179
## 12 4.8 17.9 888
## 13 32.3 24.8 1841
## 14 22.0 9.6 696
## 15 9.0 6.5 368
## 16 9.0 59.0 2853
## 17 48.3 43.1 1564
## 18 24.0 56.9 1800
## 19 50.0 51.9 1344
## 20 25.8 48.1 1182
## 21 50.4 55.7 1172
## 22 27.6 44.3 886
## 23 11.1 100.0 5581
## 24 8.8 52.8 2522
## 25 7.0 13.2 675
## 26 18.5 7.2 386
## 27 34.2 2.8 222
## 28 33.9 4.3 280
## 29 44.0 15.6 1255
## 30 20.3 4.1 241
## 31 25.2 13.2 763
## 32 16.6 31.6 1783
## 33 14.5 36.5 2149
## 34 4.6 18.8 886
## 35 33.0 26.6 1891
## 36 22.4 10.6 743
## 37 7.9 6.1 341
## 38 8.1 56.7 2607
## 39 46.0 41.2 1449
## 40 23.1 58.8 1722
## 41 47.1 49.3 1251
## 42 25.7 50.7 1165
## 43 48.3 54.7 1053
## 44 26.6 45.3 837
## 45 10.5 100.0 5322
## 46 8.1 51.0 2367
## 47 7.2 14.7 762
## 48 16.1 6.9 339
## 49 41.6 2.7 128
## 50 38.2 4.4 295
## 51 44.1 16.2 1191
## 52 23.2 4.2 239
## 53 26.7 13.2 757
## 54 15.7 31.1 1641
## 55 13.4 35.6 1946
## 56 4.6 20.0 977
## 57 31.5 26.9 1822
## 58 22.6 10.9 681
## 59 7.7 6.5 304
## 60 7.6 55.7 2514
## 61 47.3 43.1 1407
## 62 21.0 56.9 1537
## 63 49.3 51.1 1182
## 64 24.6 48.9 1031
## 65 49.0 55.8 957
## 66 25.5 44.2 766
## 67 10.5 100.0 5141
## 68 8.2 49.9 2126
## 69 6.1 12.9 625
## 70 17.4 6.8 386
## 71 40.9 4.3 216
## 72 33.7 7.7 526
## 73 37.0 12.1 910
## 74 29.0 6.3 351
## 75 25.1 11.4 613
## 76 16.9 33.5 1761
## 77 13.4 35.1 1740
## 78 4.5 20.0 1027
## 79 29.1 22.8 1569
## 80 20.6 10.4 667
## 81 7.1 5.7 268
## 82 8.3 61.1 2637
## 83 10.2 100.0 5082
## 84 8.3 52.6 2379
## 85 6.8 15.2 753
## 86 16.3 6.9 338
## 87 41.3 2.5 147
## 88 32.3 4.2 213
## 89 37.5 13.1 944
## 90 24.8 5.4 306
## 91 24.9 11.1 557
## 92 15.6 33.0 1691
## 93 13.1 34.7 1751
## 94 4.6 21.2 1082
## 95 28.1 22.4 1439
## 96 24.2 14.4 777
## 97 8.7 8.0 443
## 98 7.4 55.2 2421
## 99 12.8 100.0 6793
## 100 10.8 55.4 3271
## 101 8.8 15.7 1069
## 102 20.2 6.9 482
## 103 35.5 1.7 141
## 104 49.0 4.7 412
## 105 42.1 10.9 1002
## 106 28.1 4.8 416
## 107 30.3 11.0 695
## 108 19.6 31.7 2164
## 109 16.4 34.8 2466
## 110 6.1 22.5 1468
## 111 32.7 19.6 1679
## 112 25.5 12.6 1051
## 113 11.4 8.3 511
## 114 9.9 59.5 3552
## Very.low.food.security.percent Very.low.food.security.share
## 1 4.5 100.0
## 2 2.9 42.5
## 3 3.2 15.0
## 4 7.4 7.3
## 5 14.4 2.9
## 6 19.3 6.1
## 7 23.9 21.9
## 8 9.1 4.4
## 9 10.9 13.9
## 10 6.8 32.8
## 11 6.0 37.9
## 12 1.6 15.4
## 13 15.9 32.0
## 14 10.6 12.1
## 15 3.4 6.4
## 16 2.9 49.6
## 17 21.4 46.5
## 18 9.3 53.5
## 19 22.1 53.2
## 20 10.8 46.8
## 21 22.7 57.0
## 22 11.8 43.0
## 23 4.3 100.0
## 24 2.9 45.2
## 25 2.5 12.1
## 26 6.9 6.9
## 27 19.0 4.0
## 28 15.4 5.0
## 29 24.8 22.5
## 30 8.4 4.3
## 31 10.2 13.7
## 32 6.5 31.9
## 33 6.0 38.5
## 34 1.5 15.9
## 35 16.4 33.9
## 36 11.0 13.3
## 37 3.1 6.1
## 38 2.6 46.7
## 39 21.0 45.7
## 40 8.8 54.3
## 41 21.5 51.8
## 42 10.6 48.2
## 43 22.0 55.7
## 44 11.6 44.3
## 45 4.1 100.0
## 46 2.8 44.5
## 47 2.7 14.3
## 48 5.8 6.4
## 49 14.6 2.4
## 50 18.6 5.5
## 51 23.7 22.4
## 52 9.7 4.5
## 53 11.2 14.2
## 54 6.1 30.8
## 55 5.3 36.6
## 56 1.6 18.4
## 57 15.7 34.2
## 58 10.3 12.8
## 59 2.6 5.7
## 60 2.5 47.2
## 61 21.1 47.8
## 62 7.8 52.2
## 63 22.0 53.4
## 64 10.0 46.6
## 65 21.7 55.5
## 66 11.4 44.5
## 67 3.9 100.0
## 68 2.5 41.4
## 69 2.1 12.2
## 70 7.2 7.5
## 71 14.8 4.2
## 72 16.8 10.2
## 73 20.2 17.7
## 74 11.7 6.8
## 75 9.8 11.9
## 76 6.5 34.3
## 77 4.8 33.8
## 78 1.7 20.0
## 79 14.6 30.5
## 80 9.7 13.0
## 81 2.4 5.2
## 82 2.6 51.3
## 83 3.8 100.0
## 84 2.8 46.8
## 85 2.5 14.8
## 86 6.0 6.7
## 87 17.6 2.9
## 88 12.0 4.2
## 89 19.9 18.6
## 90 10.3 6.0
## 91 9.2 11.0
## 92 5.9 33.3
## 93 4.9 34.5
## 94 1.8 21.3
## 95 13.4 28.3
## 96 9.7 15.3
## 97 3.6 8.7
## 98 2.4 47.6
## 99 5.1 100.0
## 100 3.8 48.2
## 101 3.5 15.7
## 102 8.3 7.1
## 103 17.7 2.1
## 104 25.4 6.1
## 105 22.9 14.7
## 106 14.4 6.1
## 107 11.3 10.2
## 108 7.9 31.8
## 109 6.9 36.3
## 110 2.3 21.6
## 111 16.5 24.7
## 112 12.5 15.5
## 113 4.1 7.5
## 114 3.5 52.3foodsecurity_cat7 <- select(filter(foodsecurity3, Subcategory == 'Employment'),c(Year, Subcategory, Sub.subcategory, Food.insecure.percent, Very.low.food.security.percent))
foodsecurity_cat7## Year Subcategory Sub.subcategory Food.insecure.percent
## 1 2017 Employment Full-time 9.4
## 2 2017 Employment Retired 7.4
## 3 2017 Employment Part-time non-economic reasons 18.6
## 4 2017 Employment Part-time economic reasons 38.5
## 5 2017 Employment Unemployed 42.7
## 6 2017 Employment Disabled 43.0
## 7 2017 Employment Not in labor force 21.7
## 8 2018 Employment Full-time 8.8
## 9 2018 Employment Retired 7.0
## 10 2018 Employment Part-time non-economic reasons 18.5
## 11 2018 Employment Part-time economic reasons 34.2
## 12 2018 Employment Unemployed 33.9
## 13 2018 Employment Disabled 44.0
## 14 2018 Employment Not in labor force 20.3
## 15 2019 Employment Full-time 8.1
## 16 2019 Employment Retired 7.2
## 17 2019 Employment Part-time non-economic reasons 16.1
## 18 2019 Employment Part-time economic reasons 41.6
## 19 2019 Employment Unemployed 38.2
## 20 2019 Employment Disabled 44.1
## 21 2019 Employment Not in labor force 23.2
## 22 2020 Employment Full-time 8.2
## 23 2020 Employment Retired 6.1
## 24 2020 Employment Part-time non-economic reasons 17.4
## 25 2020 Employment Part-time economic reasons 40.9
## 26 2020 Employment Unemployed 33.7
## 27 2020 Employment Disabled 37.0
## 28 2020 Employment Not in labor force 29.0
## 29 2021 Employment Full-time 8.3
## 30 2021 Employment Retired 6.8
## 31 2021 Employment Part-time non-economic reasons 16.3
## 32 2021 Employment Part-time economic reasons 41.3
## 33 2021 Employment Unemployed 32.3
## 34 2021 Employment Disabled 37.5
## 35 2021 Employment Not in labor force 24.8
## 36 2022 Employment Full-time 10.8
## 37 2022 Employment Retired 8.8
## 38 2022 Employment Part-time non-economic reasons 20.2
## 39 2022 Employment Part-time economic reasons 35.5
## 40 2022 Employment Unemployed 49.0
## 41 2022 Employment Disabled 42.1
## 42 2022 Employment Not in labor force 28.1
## Very.low.food.security.percent
## 1 2.9
## 2 3.2
## 3 7.4
## 4 14.4
## 5 19.3
## 6 23.9
## 7 9.1
## 8 2.9
## 9 2.5
## 10 6.9
## 11 19.0
## 12 15.4
## 13 24.8
## 14 8.4
## 15 2.8
## 16 2.7
## 17 5.8
## 18 14.6
## 19 18.6
## 20 23.7
## 21 9.7
## 22 2.5
## 23 2.1
## 24 7.2
## 25 14.8
## 26 16.8
## 27 20.2
## 28 11.7
## 29 2.8
## 30 2.5
## 31 6.0
## 32 17.6
## 33 12.0
## 34 19.9
## 35 10.3
## 36 3.8
## 37 3.5
## 38 8.3
## 39 17.7
## 40 25.4
## 41 22.9
## 42 14.4library(ggplot2)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat7$Year <- as.factor(foodsecurity_cat7$Year)
# Filter the data for the year 2017
filtered_data <- foodsecurity_cat7[foodsecurity_cat7$Year == 2017, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EMPLOYMENT IN THE U.S. (2017)", # Use \n for a line break
x = "Employment",
y = "Percent of Households",
fill = "Employment"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
library(ggplot2)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat7$Year <- as.factor(foodsecurity_cat7$Year)
# Filter the data for the year 2018
filtered_data <- foodsecurity_cat7[foodsecurity_cat7$Year == 2018, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EMPLOYMENT IN THE U.S. (2018)", # Use \n for a line break
x = "Employment",
y = "Percent of Households",
fill = "Employment"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat7$Year <- as.factor(foodsecurity_cat7$Year)
# Filter the data for the year 2019
filtered_data <- foodsecurity_cat7[foodsecurity_cat7$Year == 2019, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EMPLOYMENT IN THE U.S. (2019)", # Use \n for a line break
x = "Employment",
y = "Percent of Households",
fill = "Employment"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat7$Year <- as.factor(foodsecurity_cat7$Year)
# Filter the data for the year 2020
filtered_data <- foodsecurity_cat7[foodsecurity_cat7$Year == 2020, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EMPLOYMENT IN THE U.S. (2020)", # Use \n for a line break
x = "Employment",
y = "Percent of Households",
fill = "Employment"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat7$Year <- as.factor(foodsecurity_cat7$Year)
# Filter the data for the year 2021
filtered_data <- foodsecurity_cat7[foodsecurity_cat7$Year == 2021, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EMPLOYMENT IN THE U.S. (2021)", # Use \n for a line break
x = "Employment",
y = "Percent of Households",
fill = "Employment"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat7$Year <- as.factor(foodsecurity_cat7$Year)
# Filter the data for the year 2021
filtered_data <- foodsecurity_cat7[foodsecurity_cat7$Year == 2022, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EMPLOYMENT IN THE U.S. (2022)", # Use \n for a line break
x = "Employment",
y = "Percent of Households",
fill = "Employment"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
foodsecurity_cat8 <- select(filter(foodsecurity3, Subcategory == 'Education'),c(Year, Subcategory, Sub.subcategory, Food.insecure.percent, Very.low.food.security.percent))
foodsecurity_cat8## Year Subcategory Sub.subcategory Food.insecure.percent
## 1 2017 Education Less than high school 26.2
## 2 2017 Education High School 17.5
## 3 2017 Education Some College 15.2
## 4 2017 Education College or more 4.8
## 5 2018 Education Less than high school 25.2
## 6 2018 Education High School 16.6
## 7 2018 Education Some College 14.5
## 8 2018 Education College or more 4.6
## 9 2019 Education Less than high school 26.7
## 10 2019 Education High School 15.7
## 11 2019 Education Some College 13.4
## 12 2019 Education College or more 4.6
## 13 2020 Education Less than high school 25.1
## 14 2020 Education High School 16.9
## 15 2020 Education Some College 13.4
## 16 2020 Education College or more 4.5
## 17 2021 Education Less than high school 24.9
## 18 2021 Education High School 15.6
## 19 2021 Education Some College 13.1
## 20 2021 Education College or more 4.6
## 21 2022 Education Less than high school 30.3
## 22 2022 Education High School 19.6
## 23 2022 Education Some College 16.4
## 24 2022 Education College or more 6.1
## Very.low.food.security.percent
## 1 10.9
## 2 6.8
## 3 6.0
## 4 1.6
## 5 10.2
## 6 6.5
## 7 6.0
## 8 1.5
## 9 11.2
## 10 6.1
## 11 5.3
## 12 1.6
## 13 9.8
## 14 6.5
## 15 4.8
## 16 1.7
## 17 9.2
## 18 5.9
## 19 4.9
## 20 1.8
## 21 11.3
## 22 7.9
## 23 6.9
## 24 2.3# Convert Year to a factor for better ordering in the plot
foodsecurity_cat8$Year <- as.factor(foodsecurity_cat8$Year)
# Filter the data for the year 2017
filtered_data <- foodsecurity_cat8[foodsecurity_cat8$Year == 2017, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EDUCATION STATUS IN THE U.S. (2017)", # Use \n for a line break
x = "Education",
y = "Percent of Households",
fill = "Education"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat8$Year <- as.factor(foodsecurity_cat8$Year)
# Filter the data for the year 2018
filtered_data <- foodsecurity_cat8[foodsecurity_cat8$Year == 2018, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EDUCATION STATUS IN THE U.S. (2018)", # Use \n for a line break
x = "Education",
y = "Percent of Households",
fill = "Education"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat8$Year <- as.factor(foodsecurity_cat8$Year)
# Filter the data for the year 2019
filtered_data <- foodsecurity_cat8[foodsecurity_cat8$Year == 2019, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EDUCATION STATUS IN THE U.S. (2019)", # Use \n for a line break
x = "Education",
y = "Percent of Households",
fill = "Education"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat8$Year <- as.factor(foodsecurity_cat8$Year)
# Filter the data for the year 2020
filtered_data <- foodsecurity_cat8[foodsecurity_cat8$Year == 2020, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EDUCATION STATUS IN THE U.S. (2020)", # Use \n for a line break
x = "Education",
y = "Percent of Households",
fill = "Education"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat8$Year <- as.factor(foodsecurity_cat8$Year)
# Filter the data for the year 2021
filtered_data <- foodsecurity_cat8[foodsecurity_cat8$Year == 2021, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EDUCATION STATUS IN THE U.S. (2021)", # Use \n for a line break
x = "Education",
y = "Percent of Households",
fill = "Education"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat8$Year <- as.factor(foodsecurity_cat8$Year)
# Filter the data for the year 2022
filtered_data <- foodsecurity_cat8[foodsecurity_cat8$Year == 2022, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY EDUCATION STATUS IN THE U.S. (2022)", # Use \n for a line break
x = "Education",
y = "Percent of Households",
fill = "Education"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
foodsecurity_cat9 <- select(filter(foodsecurity3, Subcategory == 'Disability status'),c(Year, Subcategory, Sub.subcategory, Food.insecure.percent, Very.low.food.security.percent))
foodsecurity_cat9## Year Subcategory Sub.subcategory
## 1 2017 Disability status Not in labor force due to disability
## 2 2017 Disability status Other disability among adults 18-64
## 3 2017 Disability status Other disability among adults 65+
## 4 2017 Disability status No adult with disabilities
## 5 2018 Disability status Not in labor force due to disability
## 6 2018 Disability status Other disability among adults 18-64
## 7 2018 Disability status Other disability among adults 65+
## 8 2018 Disability status No adult with disabilities
## 9 2019 Disability status Not in labor force due to disability
## 10 2019 Disability status Other disability among adults 18-64
## 11 2019 Disability status Other disability among adults 65+
## 12 2019 Disability status No adult with disabilities
## 13 2020 Disability status Not in labor force due to disability
## 14 2020 Disability status Other disability among adults 18-64
## 15 2020 Disability status Other disability among adults 65+
## 16 2020 Disability status No adult with disabilities
## 17 2021 Disability status Not in labor force due to disability
## 18 2021 Disability status Other disability among adults 18-64
## 19 2021 Disability status Other disability among adults 65+
## 20 2021 Disability status No adult with disabilities
## 21 2022 Disability status Not in labor force due to disability
## 22 2022 Disability status Other disability among adults 18-64
## 23 2022 Disability status Other disability among adults 65+
## 24 2022 Disability status No adult with disabilities
## Food.insecure.percent Very.low.food.security.percent
## 1 32.3 15.9
## 2 22.0 10.6
## 3 9.0 3.4
## 4 9.0 2.9
## 5 33.0 16.4
## 6 22.4 11.0
## 7 7.9 3.1
## 8 8.1 2.6
## 9 31.5 15.7
## 10 22.6 10.3
## 11 7.7 2.6
## 12 7.6 2.5
## 13 29.1 14.6
## 14 20.6 9.7
## 15 7.1 2.4
## 16 8.3 2.6
## 17 28.1 13.4
## 18 24.2 9.7
## 19 8.7 3.6
## 20 7.4 2.4
## 21 32.7 16.5
## 22 25.5 12.5
## 23 11.4 4.1
## 24 9.9 3.5# Convert Year to a factor for better ordering in the plot
foodsecurity_cat9$Year <- as.factor(foodsecurity_cat9$Year)
# Filter the data for the year 2017
filtered_data <- foodsecurity_cat9[foodsecurity_cat9$Year == 2017, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY DISABILITY STATUS IN THE U.S. (2017)", # Use \n for a line break
x = "Disability Status",
y = "Percent of Households",
fill = "Disability Status"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat9$Year <- as.factor(foodsecurity_cat9$Year)
# Filter the data for the year 2018
filtered_data <- foodsecurity_cat9[foodsecurity_cat9$Year == 2018, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY DISABILITY STATUS IN THE U.S. (2018)", # Use \n for a line break
x = "Disability Status",
y = "Percent of Households",
fill = "Disability Status"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat9$Year <- as.factor(foodsecurity_cat9$Year)
# Filter the data for the year 2019
filtered_data <- foodsecurity_cat9[foodsecurity_cat9$Year == 2019, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY DISABILITY STATUS IN THE U.S. (2019)", # Use \n for a line break
x = "Disability Status",
y = "Percent of Households",
fill = "Disability Status"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat9$Year <- as.factor(foodsecurity_cat9$Year)
# Filter the data for the year 2020
filtered_data <- foodsecurity_cat9[foodsecurity_cat9$Year == 2020, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY DISABILITY STATUS IN THE U.S. (2020)", # Use \n for a line break
x = "Disability Status",
y = "Percent of Households",
fill = "Disability Status"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat9$Year <- as.factor(foodsecurity_cat9$Year)
# Filter the data for the year 2021
filtered_data <- foodsecurity_cat9[foodsecurity_cat9$Year == 2021, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY DISABILITY STATUS IN THE U.S. (2021)", # Use \n for a line break
x = "Disability Status",
y = "Percent of Households",
fill = "Disability Status"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
# Convert Year to a factor for better ordering in the plot
foodsecurity_cat9$Year <- as.factor(foodsecurity_cat9$Year)
# Filter the data for the year 2022
filtered_data <- foodsecurity_cat9[foodsecurity_cat9$Year == 2022, ]
# Reshape the data to long format
long_data <- tidyr::gather(filtered_data, key = "Variable", value = "Percentage", c("Food.insecure.percent", "Very.low.food.security.percent"))
# Create a stacked bar chart with switched x and y axes
ggplot(long_data, aes(x = Sub.subcategory, y = Percentage, fill = Variable)) +
geom_col(position = "stack") +
geom_text(aes(label = scales::percent(Percentage, scale = 1)), position = position_stack(vjust = 0.5), size = 3) +
labs(
title = "PREVALENCE OF FOOD INSECURITY AND VERY LOW FOOD SECURITY\nBY DISABILITY STATUS IN THE U.S. (2022)", # Use \n for a line break
x = "Disability Status",
y = "Percent of Households",
fill = "Disability Status"
) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1), # Adjust angle and position of x-axis labels
legend.position = "right", # Adjust legend position
panel.grid.major.y = element_blank(), # Remove y-axis gridlines
panel.grid.minor.y = element_blank() # Remove y-axis minor gridlines
)
snap <- read.csv("https://raw.githubusercontent.com/enidroman/Data_608_Knowledge_and_Visual_Analytics/main/portion_of_household_by_sex_usafacts%20(1).csv")
snap## Percent X2014 X2015 X2016 X2017 X2018 X2019 X2020 X2021
## 1 Male 44.71868 44.65703 44.37853 44.71612 44.28687 44.78831 44.4959 44.8432
## 2 Female 55.28132 55.34297 55.62147 55.28388 55.71313 55.21169 55.5041 55.1568snapre <- rename(snap,
"SEX" = "Percent",
"2014" = "X2014",
"2015" = "X2015",
"2016" = "X2016",
"2017" = "X2017",
"2018" = "X2018",
"2019" = "X2019",
"2020" = "X2020",
"2021" = "X2021",
)
snapre## SEX 2014 2015 2016 2017 2018 2019 2020 2021
## 1 Male 44.71868 44.65703 44.37853 44.71612 44.28687 44.78831 44.4959 44.8432
## 2 Female 55.28132 55.34297 55.62147 55.28388 55.71313 55.21169 55.5041 55.1568# Assuming that the columns are named 2014 and 2015
snapre$`2014` <- as.numeric(snapre$`2014`)
snapre$`2015` <- as.numeric(snapre$`2015`)
snapre$`2016` <- as.numeric(snapre$`2016`)
snapre$`2017` <- as.numeric(snapre$`2017`)
snapre$`2018` <- as.numeric(snapre$`2018`)
snapre$`2019` <- as.numeric(snapre$`2019`)
snapre$`2020` <- as.numeric(snapre$`2020`)
snapre$`2021` <- as.numeric(snapre$`2021`)
# Check if there are any non-numeric values before rounding
# You may need to clean the data if there are non-numeric values
non_numeric_values_2014 <- snapre$`2014`[!is.na(as.numeric(snapre$`2014`)) & !is.finite(as.numeric(snapre$`2014`))]
non_numeric_values_2015 <- snapre$`2015`[!is.na(as.numeric(snapre$`2015`)) & !is.finite(as.numeric(snapre$`2015`))]
non_numeric_values_2016 <- snapre$`2014`[!is.na(as.numeric(snapre$`2016`)) & !is.finite(as.numeric(snapre$`2016`))]
non_numeric_values_2017 <- snapre$`2015`[!is.na(as.numeric(snapre$`2017`)) & !is.finite(as.numeric(snapre$`2017`))]
non_numeric_values_2018 <- snapre$`2014`[!is.na(as.numeric(snapre$`2018`)) & !is.finite(as.numeric(snapre$`2018`))]
non_numeric_values_2019 <- snapre$`2015`[!is.na(as.numeric(snapre$`2019`)) & !is.finite(as.numeric(snapre$`2019`))]
non_numeric_values_2020 <- snapre$`2014`[!is.na(as.numeric(snapre$`2020`)) & !is.finite(as.numeric(snapre$`2020`))]
non_numeric_values_2021 <- snapre$`2015`[!is.na(as.numeric(snapre$`2021`)) & !is.finite(as.numeric(snapre$`2021`))]
# If there are non-numeric values, handle or clean the data accordingly
# After ensuring all values are numeric, you can round them
snapre$`2014` <- round(snapre$`2014`, 2)
snapre$`2015` <- round(snapre$`2015`, 2)
snapre$`2014` <- round(snapre$`2016`, 2)
snapre$`2015` <- round(snapre$`2017`, 2)
snapre$`2014` <- round(snapre$`2018`, 2)
snapre$`2015` <- round(snapre$`2019`, 2)
snapre$`2014` <- round(snapre$`2020`, 2)
snapre$`2015` <- round(snapre$`2021`, 2)
# Assuming your data frame is named 'snapre'
# Convert the numeric columns to 2 decimal places
numeric_columns <- colnames(snapre)[grepl("^\\d{4}$", colnames(snapre))]
snapre[numeric_columns] <- lapply(snapre[numeric_columns], function(x) round(as.numeric(x), 2))
snapre## SEX 2014 2015 2016 2017 2018 2019 2020 2021
## 1 Male 44.5 44.84 44.38 44.72 44.29 44.79 44.5 44.84
## 2 Female 55.5 55.16 55.62 55.28 55.71 55.21 55.5 55.16library(ggplot2)
# Convert the numeric columns to 2 decimal places
numeric_columns <- colnames(snapre)[grepl("^\\d{4}$", colnames(snapre))]
snapre[numeric_columns] <- lapply(snapre[numeric_columns], function(x) round(as.numeric(x), 2))
# Reshape the data to long format
snapre_long <- tidyr::gather(snapre, key = "Year", value = "Percentage", -SEX)
# Convert 'Year' to a numeric variable
snapre_long$Year <- as.numeric(snapre_long$Year)
# Create a line graph
ggplot(snapre_long, aes(x = Year, y = Percentage, color = SEX, group = SEX)) +
geom_line() +
labs(
title = "Percentage of People in Households Receiving SNAP Benefits by Gender 2014 - 2021",
x = "Year",
y = "Percentage",
color = "Sex"
) +
theme_minimal()
library(ggplot2)
# Convert the numeric columns to 2 decimal places
numeric_columns <- colnames(snapre)[grepl("^\\d{4}$", colnames(snapre))]
snapre[numeric_columns] <- lapply(snapre[numeric_columns], function(x) round(as.numeric(x), 2))
# Reshape the data to long format
snapre_long <- tidyr::gather(snapre, key = "Year", value = "Percentage", -SEX)
# Convert 'Year' to a numeric variable
snapre_long$Year <- as.numeric(snapre_long$Year)
# Create a line graph with points and text labels
ggplot(snapre_long, aes(x = Year, y = Percentage, color = SEX, group = SEX)) +
geom_line() +
geom_point() +
geom_text(aes(label = paste0(Percentage, "%")), vjust = -0.5, hjust = 0.5) +
labs(
title = "Percentage of People in Households Receiving SNAP Benefits by Gender 2014 - 2021",
x = "Year",
y = "Percentage",
color = "Sex"
) +
theme_minimal()