Tidycensus package (K. Walker and Herman 2021), R package designed to facilitate the process of acquiring and working with US Census Bureau population data in the R environment. The package has two distinct goals: * Data retrieval from Census * Data manipulation and wrangling for analysis
FredR: R Interface package to the Federal Reserve Economic Data API. This package provides an interface to the Federal Reserve Economic Data (FRED) API. FRED covers 240,000 US and international macroeconomic time series from 77 sources (including the World Bank, OECD, and BIS)
Three states with largest population : California (15.4 Million), Texas (11.3 Million), Florida (5.5 Million)
Three states with highest population percentage: New Mexico (48%), California (39%), Texas (39%)
State with largest increase from year 2010: Texas with 2,376,780 increase
State with largest decrease from year 2010: Puerto Rico with 504,245 decrease
State with larger increase percentage from year 2010: North Dakota with 148% from 13,467 (Year 2010) to 33,412 (year 2020)
## Getting data from the 2020 decennial Census
## Using the PL 94-171 Redistricting Data summary file
## Note: 2020 decennial Census data use differential privacy, a technique that
## introduces errors into data to preserve respondent confidentiality.
## ℹ Small counts should be interpreted with caution.
## ℹ See https://www.census.gov/library/fact-sheets/2021/protecting-the-confidentiality-of-the-2020-census-redistricting-data.html for additional guidance.
## This message is displayed once per session.
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
Hispanic _ Population | |
---|---|
2020 Census | |
NAME | value |
California | 15579652 |
Texas | 11441717 |
Florida | 5697240 |
New York | 3948032 |
Illinois | 2337410 |
Arizona | 2192253 |
New Jersey | 2002575 |
Colorado | 1263390 |
Georgia | 1123457 |
North Carolina | 1118596 |
Washington | 1059213 |
Pennsylvania | 1049615 |
New Mexico | 1010811 |
Virginia | 908749 |
Nevada | 890257 |
Massachusetts | 887685 |
Maryland | 729745 |
Connecticut | 623293 |
Oregon | 588757 |
Michigan | 564422 |
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
Hispanic Percent Population | ||
---|---|---|
2020 Census | ||
NAME | value | percent |
New Mexico | 1010811 | 48 |
California | 15579652 | 39 |
Texas | 11441717 | 39 |
Arizona | 2192253 | 31 |
Nevada | 890257 | 29 |
Florida | 5697240 | 26 |
Colorado | 1263390 | 22 |
New Jersey | 2002575 | 22 |
New York | 3948032 | 20 |
Illinois | 2337410 | 18 |
Connecticut | 623293 | 17 |
Rhode Island | 182101 | 17 |
Utah | 492912 | 15 |
Oregon | 588757 | 14 |
Washington | 1059213 | 14 |
Idaho | 239407 | 13 |
Kansas | 382603 | 13 |
Massachusetts | 887685 | 13 |
Maryland | 729745 | 12 |
Nebraska | 234715 | 12 |
## Warning in private$zoom == "alaska" || private$zoom == "hawaii": 'length(x) = 51
## > 1' in coercion to 'logical(1)'
## Warning in private$zoom == "alaska" || private$zoom == "hawaii": 'length(x) = 51
## > 1' in coercion to 'logical(1)'
## Getting data from the 2010 decennial Census
## Using Census Summary File 1
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
Hispanic Population Changes from 2010 to 2020 | |||
---|---|---|---|
Hispanic Population | |||
NAME | value | year2010 | percent |
North Dakota | 33412 | 13467 | 148 |
South Dakota | 38741 | 22119 | 75 |
Louisiana | 322549 | 192560 | 68 |
Vermont | 15504 | 9208 | 68 |
Tennessee | 479187 | 290059 | 65 |
New Hampshire | 59454 | 36704 | 62 |
Montana | 45199 | 28565 | 58 |
Maine | 26609 | 16935 | 57 |
Kentucky | 207854 | 132836 | 56 |
West Virginia | 34827 | 22268 | 56 |
Maryland | 729745 | 470632 | 55 |
South Carolina | 352838 | 235682 | 50 |
Ohio | 521308 | 354674 | 47 |
Pennsylvania | 1049615 | 719660 | 46 |
Virginia | 908749 | 631825 | 44 |
Iowa | 215986 | 151544 | 43 |
Missouri | 303068 | 212470 | 43 |
Alabama | 264047 | 185602 | 42 |
Delaware | 104290 | 73221 | 42 |
District of Columbia | 77652 | 54749 | 42 |
Indiana | 554191 | 389707 | 42 |
Oklahoma | 471931 | 332007 | 42 |
Massachusetts | 887685 | 627654 | 41 |
Nebraska | 234715 | 167405 | 40 |
North Carolina | 1118596 | 800120 | 40 |
Washington | 1059213 | 755790 | 40 |
Rhode Island | 182101 | 130655 | 39 |
Arkansas | 256847 | 186050 | 38 |
Minnesota | 345640 | 250258 | 38 |
Utah | 492912 | 358340 | 38 |
Idaho | 239407 | 175901 | 36 |
Florida | 5697240 | 4223806 | 35 |
Wisconsin | 447290 | 336056 | 33 |
Georgia | 1123457 | 853689 | 32 |
Oregon | 588757 | 450062 | 31 |
Connecticut | 623293 | 479087 | 30 |
Michigan | 564422 | 436358 | 29 |
Mississippi | 105220 | 81481 | 29 |
New Jersey | 2002575 | 1555144 | 29 |
Kansas | 382603 | 300042 | 28 |
Alaska | 49824 | 39249 | 27 |
Nevada | 890257 | 716501 | 24 |
Colorado | 1263390 | 1038687 | 22 |
Texas | 11441717 | 9460921 | 21 |
Wyoming | 59046 | 50231 | 18 |
Arizona | 2192253 | 1895149 | 16 |
New York | 3948032 | 3416922 | 16 |
Hawaii | 138923 | 120842 | 15 |
Illinois | 2337410 | 2027578 | 15 |
California | 15579652 | 14013719 | 11 |
New Mexico | 1010811 | 953403 | 6 |
## Warning in private$zoom == "alaska" || private$zoom == "hawaii": 'length(x) = 51
## > 1' in coercion to 'logical(1)'
## Warning in private$zoom == "alaska" || private$zoom == "hawaii": 'length(x) = 51
## > 1' in coercion to 'logical(1)'
## Getting data from the 2020 decennial Census
## Using the PL 94-171 Redistricting Data summary file
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
2020 Hispanic Population _ by counties | ||
---|---|---|
Over 50% Population | ||
County | state | pct |
Starr | Texas | 98 |
Webb | Texas | 95 |
Maverick | Texas | 95 |
Zapata | Texas | 94 |
Hidalgo | Texas | 92 |
Zavala | Texas | 92 |
Cameron | Texas | 89 |
Brooks | Texas | 88 |
Jim Hogg | Texas | 88 |
Dimmit | Texas | 87 |
Willacy | Texas | 87 |
Imperial | California | 85 |
Reeves | Texas | 85 |
El Paso | Texas | 83 |
Santa Cruz | Arizona | 83 |
Duval | Texas | 81 |
Presidio | Texas | 81 |
Val Verde | Texas | 80 |
Jim Wells | Texas | 79 |
Mora | New Mexico | 79 |
Frio | Texas | 77 |
Guadalupe | New Mexico | 77 |
Culberson | Texas | 75 |
Deaf Smith | Texas | 75 |
Kenedy | Texas | 75 |
San Miguel | New Mexico | 75 |
La Salle | Texas | 74 |
Kleberg | Texas | 71 |
Pecos | Texas | 71 |
Uvalde | Texas | 70 |
Miami-Dade | Florida | 69 |
Crane | Texas | 68 |
Reagan | Texas | 67 |
Doña Ana | New Mexico | 67 |
Rio Arriba | New Mexico | 67 |
Tulare | California | 66 |
Bailey | Texas | 66 |
Parmer | Texas | 66 |
Luna | New Mexico | 66 |
Seward | Kansas | 66 |
Castro | Texas | 65 |
Yoakum | Texas | 65 |
Adams | Washington | 64 |
Atascosa | Texas | 64 |
Hudspeth | Texas | 64 |
Yuma | Arizona | 64 |
Colusa | California | 62 |
Merced | California | 62 |
Bee | Texas | 62 |
Crockett | Texas | 62 |
Sutton | Texas | 62 |
San Benito | California | 61 |
Ector | Texas | 61 |
Nueces | Texas | 61 |
Winkler | Texas | 61 |
Lea | New Mexico | 61 |
Madera | California | 60 |
Monterey | California | 60 |
Hale | Texas | 60 |
Cochran | Texas | 60 |
Valencia | New Mexico | 60 |
Bexar | Texas | 59 |
Moore | Texas | 59 |
Kings | California | 57 |
Costilla | Colorado | 57 |
Floyd | Texas | 57 |
Lamb | Texas | 57 |
Chaves | New Mexico | 57 |
Hidalgo | New Mexico | 57 |
Ford | Kansas | 57 |
Hendry | Florida | 56 |
Garza | Texas | 56 |
San Patricio | Texas | 56 |
Terry | Texas | 56 |
Andrews | Texas | 56 |
Caldwell | Texas | 56 |
Kern | California | 55 |
Bronx | New York | 55 |
Crosby | Texas | 55 |
Ochiltree | Texas | 55 |
Fresno | California | 54 |
San Bernardino | California | 54 |
Franklin | Washington | 54 |
Osceola | Florida | 54 |
Dawson | Texas | 54 |
Upton | Texas | 54 |
Ward | Texas | 54 |
Karnes | Texas | 53 |
Grant | Kansas | 53 |
Dallam | Texas | 52 |
Schleicher | Texas | 52 |
Finney | Kansas | 52 |
Conejos | Colorado | 51 |
Yakima | Washington | 51 |
Texas | Oklahoma | 51 |
Taos | New Mexico | 51 |
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## New names:
## • `` -> `...1`
## • `` -> `...2`
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
2017 Hispanic Employment by Industries | |||
---|---|---|---|
Percent Employment | |||
Industry | Hispanic | Black | Asian |
Landscaping services | 45.7 | 7.5 | 1.3 |
Services to buildings and dwellings (except cleaning during construction and immediately after construction) | 41.2 | 14.1 | 2.8 |
Other services, private households | 40.1 | 8.1 | 5.0 |
Barber shops | 39.4 | 17.0 | 7.7 |
Cut and sew, and apparel accessories and other apparel manufacturing | 39.1 | 8.8 | 12.5 |
Bakeries and tortilla manufacturing, except retail bakeries | 38.8 | 6.6 | 5.7 |
Car washes | 37.6 | 14.6 | 2.8 |
Not specified food industries | 36.3 | 10.9 | 6.5 |
Warehousing and storage | 36.0 | 22.4 | 5.5 |
Crop production | 33.5 | 3.3 | 1.7 |
Animal slaughtering and processing | 33.1 | 22.4 | 5.6 |
Fruit and vegetable preserving and specialty food manufacturing | 32.9 | 9.1 | 4.7 |
Apparel, piece goods, and notions merchant wholesalers | 32.8 | 6.3 | 16.5 |
Construction | 32.6 | 6.3 | 2.1 |
Grocery and related product merchant wholesalers | 31.7 | 12.2 | 5.4 |
Not specified manufacturing industries | 31.3 | 17.2 | 6.8 |
Administrative and support services | 31.1 | 15.4 | 3.3 |
Management, administrative, and waste services | 30.2 | 15.3 | 3.2 |
Food manufacturing | 29.3 | 13.4 | 4.6 |
Drycleaning and laundry services | 28.9 | 14.0 | 12.9 |
Retail bakeries | 28.6 | 12.0 | 3.4 |
Furniture and home furnishing merchant wholesalers | 28.3 | 8.1 | 2.4 |
Textiles, apparel, and leather manufacturing | 27.8 | 8.9 | 6.9 |
Restaurants and other food services | 27.8 | 12.7 | 7.1 |
Food services and drinking places | 27.5 | 12.6 | 7.0 |
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
2017 Asian Employment by Industries | |||
---|---|---|---|
Percent Employment | |||
Industry | Asian | Hispanic | Black |
Nail salons and other personal care services | 40.0 | 12.1 | 7.7 |
Computer and peripheral equipment manufacturing | 37.4 | 7.0 | 5.9 |
Internet publishing and broadcasting and web search portals | 29.9 | 9.0 | 9.1 |
Electronic component and product manufacturing, n.e.c. | 23.7 | 13.3 | 4.1 |
Computer systems design and related services | 23.7 | 8.1 | 7.0 |
Computers and electronic products manufacturing | 22.8 | 11.4 | 4.8 |
Software publishers | 21.4 | 4.1 | 6.8 |
Pharmaceutical and medicine manufacturing | 19.3 | 14.8 | 7.8 |
Scientific research and development services | 19.3 | 8.8 | 4.9 |
Communications, audio, and video equipment manufacturing | 19.2 | 10.1 | 8.6 |
Apparel, piece goods, and notions merchant wholesalers | 16.5 | 32.8 | 6.3 |
Data processing, hosting, and related services | 15.7 | 14.5 | 4.5 |
Taxi and limousine service | 14.9 | 25.6 | 26.0 |
Personal and laundry services | 14.2 | 18.3 | 12.3 |
Electronic and precision equipment repair and maintenance | 13.9 | 23.1 | 6.9 |
Medical equipment and supplies manufacturing | 13.4 | 13.4 | 7.7 |
Electronic shopping and mail-order houses | 13.1 | 19.1 | 20.0 |
Professional and technical services | 13.1 | 9.9 | 7.1 |
Drycleaning and laundry services | 12.9 | 28.9 | 14.0 |
Cut and sew, and apparel accessories and other apparel manufacturing | 12.5 | 39.1 | 8.8 |
Aerospace products and parts manufacturing | 12.3 | 15.7 | 3.8 |
Securities, commodities, funds, trusts, and other financial investments | 12.3 | 7.9 | 7.2 |
Wholesale electronic markets and agents and brokers | 12.2 | 21.2 | 4.0 |
Beer, wine, and liquor stores | 12.1 | 11.3 | 9.8 |
Electric and gas, and other combinations | 12.0 | 9.3 | 12.0 |
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
2017 Black Employment by Industries | |||
---|---|---|---|
Percent Employment | |||
Industry | Black | Hispanic | Asian |
Bus service and urban transit | 32.6 | 15.3 | 7.0 |
Sound recording industries | 30.1 | 5.3 | 0.0 |
Tire manufacturing | 29.4 | 2.3 | 5.8 |
Postal Service | 29.3 | 10.0 | 7.7 |
Investigation and security services | 28.2 | 17.3 | 3.1 |
Nursing care facilities (skilled nursing facilities) | 27.9 | 9.4 | 4.8 |
Home health care services | 27.4 | 18.6 | 6.7 |
Psychiatric and substance abuse hospitals | 26.2 | 9.2 | 4.8 |
Taxi and limousine service | 26.0 | 25.6 | 14.9 |
Residential care facilities, except skilled nursing facilities | 24.2 | 12.2 | 4.1 |
Vocational rehabilitation services | 23.0 | 15.5 | 0.7 |
Administration of human resource programs | 22.9 | 15.4 | 7.7 |
Animal slaughtering and processing | 22.4 | 33.1 | 5.6 |
Warehousing and storage | 22.4 | 36.0 | 5.5 |
Couriers and messengers | 22.3 | 20.6 | 3.7 |
Community food and housing, and emergency services | 21.8 | 16.6 | 4.0 |
Automotive equipment rental and leasing | 21.7 | 15.2 | 3.6 |
Transportation and warehousing | 21.3 | 21.5 | 5.8 |
Business support services | 20.5 | 16.6 | 3.2 |
Rail transportation | 20.4 | 7.7 | 1.0 |
Individual and family services | 20.1 | 19.0 | 6.3 |
Electronic shopping and mail-order houses | 20.0 | 19.1 | 13.1 |
General merchandise stores, including warehouse clubs and supercenters | 19.6 | 19.1 | 5.0 |
Transportation and utilities | 19.6 | 20.1 | 5.5 |
Employment services | 19.3 | 17.2 | 5.2 |
## Getting data from the 2020 decennial Census
## Using the PL 94-171 Redistricting Data summary file
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
Hispanic County Population_California | ||
---|---|---|
2020 Census percent | ||
NAME | value | percent |
Imperial County | 153027 | 85 |
Tulare County | 309895 | 66 |
Colusa County | 13476 | 62 |
Merced County | 173857 | 62 |
San Benito County | 39241 | 61 |
Madera County | 93178 | 60 |
Monterey County | 265321 | 60 |
Kings County | 86607 | 57 |
Kern County | 499158 | 55 |
Fresno County | 540743 | 54 |
San Bernardino County | 1170913 | 54 |
Riverside County | 1202295 | 50 |
Los Angeles County | 4804763 | 48 |
Stanislaus County | 265978 | 48 |
Santa Barbara County | 210584 | 47 |
Glenn County | 12541 | 43 |
Ventura County | 365285 | 43 |
San Joaquin County | 325725 | 42 |
Napa County | 48829 | 35 |
Santa Cruz County | 94299 | 35 |
Orange County | 1086834 | 34 |
San Diego County | 1119629 | 34 |
Yolo County | 71700 | 33 |
Sutter County | 31568 | 32 |
Sonoma County | 141438 | 29 |
Yuba County | 23520 | 29 |
Solano County | 128155 | 28 |
Contra Costa County | 314900 | 27 |
Mono County | 3507 | 27 |
Tehama County | 17938 | 27 |
Mendocino County | 23933 | 26 |
San Mateo County | 191386 | 25 |
Santa Clara County | 487357 | 25 |
Sacramento County | 374434 | 24 |
San Luis Obispo County | 67921 | 24 |
Alameda County | 393749 | 23 |
Inyo County | 4399 | 23 |
Lake County | 15442 | 23 |
Lassen County | 7531 | 23 |
Butte County | 40112 | 19 |
Del Norte County | 5321 | 19 |
Marin County | 49410 | 19 |
San Francisco County | 136761 | 16 |
Amador County | 6014 | 15 |
Placer County | 60628 | 15 |
El Dorado County | 26459 | 14 |
Humboldt County | 18535 | 14 |
Modoc County | 1259 | 14 |
Calaveras County | 5865 | 13 |
Siskiyou County | 5527 | 13 |
Tuolumne County | 7124 | 13 |
Mariposa County | 2140 | 12 |
Sierra County | 377 | 12 |
Shasta County | 19730 | 11 |
Nevada County | 10416 | 10 |
Plumas County | 1897 | 10 |
Alpine County | 84 | 7 |
Trinity County | 937 | 6 |
## Getting data from the 2020 decennial Census
## Using the PL 94-171 Redistricting Data summary file
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
Texas Counties with Hispanic Majority | |||
---|---|---|---|
Counties with 10,000+ population only | |||
NAME | value | summary_value | percent |
Starr County | 64393 | 65920 | 98 |
Maverick County | 54936 | 57887 | 95 |
Webb County | 254354 | 267114 | 95 |
Zapata County | 12999 | 13889 | 94 |
Hidalgo County | 800001 | 870781 | 92 |
Cameron County | 376680 | 421017 | 89 |
Willacy County | 17611 | 20164 | 87 |
Reeves County | 12510 | 14748 | 85 |
El Paso County | 715351 | 865657 | 83 |
Val Verde County | 38207 | 47586 | 80 |
Jim Wells County | 30835 | 38891 | 79 |
Frio County | 14171 | 18385 | 77 |
Deaf Smith County | 13925 | 18583 | 75 |
Kleberg County | 21920 | 31040 | 71 |
Pecos County | 10845 | 15193 | 71 |
Uvalde County | 17317 | 24564 | 70 |
Atascosa County | 31178 | 48981 | 64 |
Bee County | 19392 | 31047 | 62 |
Ector County | 100051 | 165171 | 61 |
Nueces County | 217052 | 353178 | 61 |
Hale County | 19489 | 32522 | 60 |
Bexar County | 1190958 | 2009324 | 59 |
Moore County | 12647 | 21358 | 59 |
Lamb County | 7449 | 13045 | 57 |
Andrews County | 10400 | 18610 | 56 |
Caldwell County | 25468 | 45883 | 56 |
San Patricio County | 38220 | 68755 | 56 |
Terry County | 6569 | 11831 | 56 |
Ochiltree County | 5470 | 10015 | 55 |
Dawson County | 6767 | 12456 | 54 |
Ward County | 6325 | 11644 | 54 |
Karnes County | 7734 | 14710 | 53 |
## Getting data from the 2020 decennial Census
## Using the PL 94-171 Redistricting Data summary file
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
Hispanic _ New Mexico County Population Percentage | |||
---|---|---|---|
County population | |||
NAME | value | summary_value | percent |
Mora County, New Mexico | 3301 | 4189 | 79 |
Guadalupe County, New Mexico | 3436 | 4452 | 77 |
San Miguel County, New Mexico | 20490 | 27201 | 75 |
Doña Ana County, New Mexico | 147672 | 219561 | 67 |
Rio Arriba County, New Mexico | 27159 | 40363 | 67 |
Luna County, New Mexico | 16670 | 25427 | 66 |
Lea County, New Mexico | 45193 | 74455 | 61 |
Valencia County, New Mexico | 45775 | 76205 | 60 |
Chaves County, New Mexico | 37097 | 65157 | 57 |
Hidalgo County, New Mexico | 2390 | 4178 | 57 |
Taos County, New Mexico | 17430 | 34489 | 51 |
Eddy County, New Mexico | 31307 | 62314 | 50 |
Socorro County, New Mexico | 8353 | 16595 | 50 |
Bernalillo County, New Mexico | 329481 | 676444 | 49 |
Grant County, New Mexico | 13466 | 28185 | 48 |
Santa Fe County, New Mexico | 74377 | 154823 | 48 |
Colfax County, New Mexico | 5878 | 12387 | 47 |
Curry County, New Mexico | 21796 | 48430 | 45 |
Quay County, New Mexico | 3848 | 8746 | 44 |
Roosevelt County, New Mexico | 8397 | 19191 | 44 |
Harding County, New Mexico | 282 | 657 | 43 |
Torrance County, New Mexico | 6265 | 15045 | 42 |
De Baca County, New Mexico | 654 | 1698 | 39 |
Otero County, New Mexico | 26152 | 67839 | 39 |
Sandoval County, New Mexico | 57617 | 148834 | 39 |
Union County, New Mexico | 1596 | 4079 | 39 |
Cibola County, New Mexico | 8644 | 27172 | 32 |
Lincoln County, New Mexico | 6496 | 20269 | 32 |
Sierra County, New Mexico | 3311 | 11576 | 29 |
San Juan County, New Mexico | 23630 | 121661 | 19 |
Los Alamos County, New Mexico | 3435 | 19419 | 18 |
Catron County, New Mexico | 602 | 3579 | 17 |
McKinley County, New Mexico | 8611 | 72902 | 12 |
## Getting data from the 2016-2020 5-year ACS
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
Hispanic with Bachelor Degree Education | ||
---|---|---|
Top California County | ||
NAME | Population | percent |
San Francisco | 93563 | 36 |
Marin | 24187 | 29 |
Placer | 32293 | 27 |
El Dorado | 14225 | 24 |
San Mateo | 114592 | 22 |
Alameda | 222731 | 21 |
San Diego | 658263 | 19 |
Santa Clara | 285206 | 19 |
Contra Costa | 171879 | 18 |
Sacramento | 201810 | 18 |
San Luis Obispo | 35164 | 18 |
Yolo | 37189 | 18 |
Orange | 627514 | 17 |
Santa Cruz | 49568 | 16 |
Shasta | 10272 | 16 |
Butte | 19529 | 15 |
Napa | 27135 | 15 |
Sonoma | 75986 | 15 |
Imperial | 89306 | 14 |
Los Angeles | 2978256 | 14 |
Solano | 67453 | 14 |
Ventura | 210226 | 14 |
Yuba | 11350 | 14 |
Riverside | 679870 | 12 |
San Bernardino | 657234 | 12 |
Santa Barbara | 107668 | 12 |
Fresno | 286676 | 11 |
San Benito | 21510 | 11 |
Mendocino | 11689 | 10 |
Monterey | 140157 | 10 |
Madera | 48718 | 9 |
Sutter | 16039 | 9 |
Kern | 254399 | 8 |
Kings | 45506 | 8 |
San Joaquin | 169213 | 8 |
Stanislaus | 137888 | 8 |
Tulare | 157381 | 8 |
Merced | 86827 | 7 |
## Getting data from the 2016-2020 5-year ACS
## Warning: Domain not specified, defaulting to observed range within each
## specified column.
Bachelor Degree Education | ||
---|---|---|
2020 Top Texas Counties | ||
NAME | Population | percent |
Collin | 85911 | 30 |
Travis | 249562 | 28 |
Denton | 92684 | 26 |
Fort Bend | 112746 | 26 |
Williamson | 80320 | 25 |
Comal | 24529 | 22 |
Montgomery | 77031 | 22 |
El Paso | 416844 | 20 |
Hays | 47726 | 20 |
Bexar | 719541 | 18 |
Brazos | 28539 | 18 |
Galveston | 48608 | 18 |
Kleberg | 12010 | 18 |
Randall | 16552 | 18 |
Webb | 144506 | 18 |
Brazoria | 64498 | 17 |
Hidalgo | 435085 | 17 |
Bell | 47137 | 16 |
Tarrant | 323406 | 16 |
Wilson | 12459 | 16 |
Cameron | 215013 | 15 |
Guadalupe | 36904 | 15 |
Harris | 1138885 | 15 |
Lubbock | 58986 | 15 |
Maverick | 31438 | 15 |
Val Verde | 23567 | 15 |
Nueces | 142267 | 14 |
Uvalde | 11135 | 14 |
Johnson | 19868 | 13 |
Taylor | 17759 | 13 |
Tom Green | 27574 | 13 |
Wichita | 13588 | 13 |
Dallas | 569220 | 12 |
Jim Wells | 19981 | 12 |
Kaufman | 14915 | 12 |
Midland | 42840 | 12 |
Ector | 54026 | 11 |
Starr | 35151 | 11 |
Medina | 16303 | 10 |
Smith | 22604 | 10 |
Ellis | 25318 | 9 |
McLennan | 34217 | 9 |
Atascosa | 19322 | 8 |
Bastrop | 17508 | 8 |
Liberty | 11501 | 8 |
San Patricio | 23016 | 8 |
Victoria | 25249 | 8 |
Willacy | 11674 | 8 |
Gregg | 11234 | 7 |
Jefferson | 29335 | 7 |
Caldwell | 13030 | 6 |
Potter | 24623 | 6 |
Bee | 11741 | 5 |
Hale | 11077 | 5 |
## Warning in self$bind(): The following regions were missing and are being set to
## NA: 48301
FredR: R Interface package to the Federal Reserve Economic Data API. This package provides an interface to the Federal Reserve Economic Data (FRED) API. FRED covers 240,000 US and international macroeconomic time series from 77 sources (including the World Bank, OECD, and BIS).
An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.
The crude death rate is the number of deaths reported each calendar year divided by the population, multiplied by 100,000. Premature death rate includes all deaths where the deceased is younger than 75 years of age. 75 years of age is the standard consideration of a premature death according to the CDC’s definition of Years of Potential Life Loss.
Three states with largest population : California (15.4 Million), Texas (11.3 Million), Florida (5.5 Million)
Three states with highest population percentage: New Mexico (48%), California (39%), Texas (39%)
State with largest increase from year 2010: Texas with 2,376,780 increase
State with largest decrease from year 2010: Puerto Rico with 504,245 decrease
State with larger increase percentage from year 2010: North Dakota with 148% from 13,467 (Year 2010) to 33,412 (year 2020)
Three nationwide counties with highest population percentage: Starr_Texas (98%), Webb_Texas (95%), Maverick_Texas (95%)
Three California counties with highest percentage: Imperial County (85%), Tulare County (66%), Colusa County(62%)