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)A societal issue has arisen, creating a perceived need for government intervention. In response, politicians—often presenting their actions as compassion-driven—enact policies intended to address this issue. However, as the political environment evolves, additional policies are frequently introduced, sometimes beyond what is necessary. This can lead to an excessive policy landscape that, while well-intentioned, may inadvertently exacerbate the problem.
The cumulative effect of these policies places a growing financial burden on various segments of society:
These financial pressures create a ripple effect across the local economy:
As businesses close or relocate due to financial pressures, the community loses job opportunities, further reducing the availability of employment—especially for vulnerable populations with fewer educational or professional resources. This competitive job market heightens economic vulnerability, particularly for those already facing hardship.
Despite numerous policies, the core issue often remains unresolved, as government programs may lack accountability and measurable success indicators. Without clear KPIs (Key Performance Indicators) or OKRs (Objectives and Key Results), it becomes challenging to assess the true impact of these interventions. Consequently:
The relentless financial pressure on individuals and families creates a substantial mental health burden:
In response to ongoing challenges, NGOs and advocates may call for further intervention, often arguing that existing policies are insufficient. This advocacy can lead to:
The objective of this analysis is to identify the Burden of Cost created by the issues presented in the charts and data. The analysis will focus on examining the impact on vulnerable populations within the county, aiming to provide actionable strategies that relieve this burden without further taxation or policy expansion.
Define Key Terms and Variables: Each variable and metric used in the charts will be explained to ensure a clear understanding of the data.
Data-Driven Insights: The analysis will provide insights based on specific metrics observed in the charts. Key metrics will be identified, and underlying drivers affecting these variables will be explored.
Actionable Strategies: Suggestions for alleviating the burden on vulnerable populations will be provided, focusing on sustainable, non-policy-based solutions.
Critical Questions for Accountability and Understanding: The analysis will conclude with three critical questions aimed at promoting a deeper understanding of the problem and encouraging the development of measurable KPIs. These questions will focus on reducing the financial burden on vulnerable groups and improving the efficiency of current interventions.
By addressing these areas, the analysis seeks to shed light on the root causes of financial strain and provide practical recommendations for Snohomish County to reduce economic pressures on its residents while fostering a more resilient and self-sustaining community.
This study investigates the implications of systemic problems on policy-making and the associated financial burdens placed on specific consumer groups, particularly within the low- to middle-income brackets and small to medium-sized businesses. By examining the policies passed ostensibly to address societal issues, this analysis highlights a recurring pattern: well-intentioned or performative policy decisions often impose additional costs on society without adequately measurable standards for accountability or effectiveness. For instance, increased sales and property taxes, along with rising rent costs, create additional financial strain for consumers, small business owners, and renters, ultimately diminishing their economic resilience and heightening their dependency on governmental aid. The lack of clear Key Performance Indicators (KPIs) or Objectives and Key Results (OKRs) to measure success contributes to a feedback loop where unproductive programs remain unchecked, furthering the original problem and creating a costly cycle of dependency and program expansion.
The analysis outlines how, due to financial strain, businesses close or relocate, resulting in job market contraction and increased competition, leaving vulnerable populations with fewer employment opportunities. For populations already economically disadvantaged, especially those lacking adequate resources or education, this dynamic disproportionately impacts mental health and escalates reliance on maladaptive coping mechanisms. Rising financial and emotional distress manifest through heightened anxiety, substance misuse, and deteriorating family stability, adding pressure to public health systems and amplifying the original issues. This cycle emphasizes the significance of comprehensively evaluating the socioeconomic impacts of policies, particularly when metrics of success are absent or poorly defined.
The study advocates for cautious policy design, emphasizing the need for transparent KPIs and OKRs to define policy impact, success, and value. The findings underscore the necessity for a more accountable and data-driven approach to policy-making, where the costs, effectiveness, and unintended societal consequences are carefully balanced.
Rising Cost of Living Outpaces Income Growth for
Vulnerable Populations
Why It Matters: The cost of living in Snohomish County
has significantly increased, with the Consumer Price Index (CPI) rising
from 224.939 in 2011 to 292.655 in 2022 (Chart 7). Median household
incomes for certain racial groups, particularly Black or African
American alone ($78,874) and Hispanic or Latino ($86,960), are below the
estimated cost of living ($93,397 in 2022) (Chart 10). This disparity
places a substantial financial burden on vulnerable populations, leading
to increased economic strain and potential reliance on government
aid.
Increasing Income Inequality with Significant Racial
Disparities
Why It Matters: The Gini Index in Snohomish County has
risen from approximately 0.42 in 2011 to 0.45 in 2022 (Chart 8),
indicating growing income inequality. Median household income for Asian
alone households is $132,726 in 2022, compared to $78,874 for Black or
African American alone households (Chart 9). These disparities
exacerbate socioeconomic divides and contribute to the financial burdens
on lower-income and minority populations.
Median Incomes Below Cost of Living for Some Racial
Groups
Why It Matters: Black or African American alone and
Hispanic or Latino households have median incomes below the county’s
cost of living, at $78,874 and $86,960 respectively (Chart 10). This
indicates that these groups struggle to afford basic necessities,
increasing the likelihood of financial instability and dependency on
social services.
Population Growth Increases Housing Demand and
Costs
Why It Matters: The population has grown from
approximately 700,000 in 2011 to over 800,000 in 2022 (Chart 1),
intensifying the demand for housing. This surge drives up housing costs,
disproportionately affecting low-income families who may face
displacement or heightened financial stress due to unaffordable housing
options.
Federal Poverty Guidelines Inadequate for High Cost of
Living
Why It Matters: The poverty rate stands at 7.8% in 2022
(Chart 13), but federal poverty guidelines do not account for the higher
living costs in Snohomish County. Many struggling families earn slightly
above the federal threshold yet cannot meet basic needs, leaving them
without access to necessary assistance.
Tax Policies May Burden Lower-Income
Households
Why It Matters: Tax increases intended to fund social
programs can inadvertently place a heavier financial burden on
lower-income households (Chart 8 Analysis). Without directly benefiting
from these programs, these households experience reduced disposable
income and heightened economic stress.
Small Businesses Struggle with Rising Operational
Costs
Why It Matters: Inflation and increased operational
costs, reflected in the CPI rise (Chart 7), challenge small businesses,
potentially leading to closures or relocations. This reduces local
employment opportunities, particularly affecting vulnerable populations
reliant on these jobs.
Inflation Erodes Purchasing Power of Low-Income
Households
Why It Matters: The CPI increase indicates significant
inflation, diminishing purchasing power, especially for low-income
households (Chart 7). As essential goods consume a larger portion of
income, financial strain intensifies, impacting quality of life and
economic stability.
High Percentage of Cost-Burdened Renters and
Owners
Why It Matters: A substantial proportion of households
spend over 30% of their income on housing (Computed Ratios Analysis),
indicating housing affordability issues. This financial burden limits
disposable income for other necessities, increasing economic
vulnerability.
Gini Index Shows Growing Income Inequality Over
Time
Why It Matters: The rise in the Gini Index from 0.42 to
0.45 (Chart 8) signifies that income inequality is worsening. This
growing gap can lead to social stratification and decreased social
mobility, impacting community cohesion and economic health.
## [1] "GEOID"
## [2] "Year"
## [3] "Total population Male"
## [4] "Male: Under 5 years"
## [5] "Male: 5-9 years"
## [6] "Male: 10-14 years"
## [7] "Male: 15-17 years"
## [8] "Male: 18-19 years"
## [9] "Male: 20 years"
## [10] "Male: 21 years"
## [11] "Male: 22-24 years"
## [12] "Male: 25-29 years"
## [13] "Male: 30-34 years"
## [14] "Male: 35-39 years"
## [15] "Male: 40-44 years"
## [16] "Male: 45-49 years"
## [17] "Male: 50-54 years"
## [18] "Male: 55-59 years"
## [19] "Male: 60-61 years"
## [20] "Male: 62-64 years"
## [21] "Male: 65-66 years"
## [22] "Male: 67-69 years"
## [23] "Male: 70-74 years"
## [24] "Male: 75-79 years"
## [25] "Male: 80-84 years"
## [26] "Male: 85 years and over"
## [27] "Total population Female"
## [28] "Female: Under 5 years"
## [29] "Female: 5-9 years"
## [30] "Female: 10-14 years"
## [31] "Female: 15-17 years"
## [32] "Female: 18-19 years"
## [33] "Female: 20 years"
## [34] "Female: 21 years"
## [35] "Female: 22-24 years"
## [36] "Female: 25-29 years"
## [37] "Female: 30-34 years"
## [38] "Female: 35-39 years"
## [39] "Female: 40-44 years"
## [40] "Female: 45-49 years"
## [41] "Female: 50-54 years"
## [42] "Female: 55-59 years"
## [43] "Female: 60-61 years"
## [44] "Female: 62-64 years"
## [45] "Female: 65-66 years"
## [46] "Female: 67-69 years"
## [47] "Female: 70-74 years"
## [48] "Female: 75-79 years"
## [49] "Female: 80-84 years"
## [50] "Female: 85 years and over"
## [51] "Median age"
## [52] "Total population"
## [53] "Race total"
## [54] "White alone"
## [55] "Black or African American alone"
## [56] "Asian alone"
## [57] "Native Hawaiian and Other Pacific Islander alone"
## [58] "Some other race alone"
## [59] "Two or more races"
## [60] "Two races including Some other race"
## [61] "Two races excluding Some other race, and three or more races"
## [62] "Hispanic or Latino"
## [63] "Total households"
## [64] "Family households"
## [65] "Nonfamily households"
## [66] "Total families"
## [67] "Single-parent families"
## [68] "Households with people aged 65 and over"
## [69] "Households with unmarried partners"
## [70] "Population below poverty level"
## [71] "White alone below poverty level"
## [72] "Black or African American alone below poverty level"
## [73] "American Indian and Alaska Native alone below poverty level"
## [74] "Asian alone below poverty level"
## [75] "Native Hawaiian and Other Pacific Islander alone below poverty level"
## [76] "Some other race alone below poverty level"
## [77] "Two or more races below poverty level"
## [78] "Hispanic or Latino below poverty level"
## [79] "Total population by age for poverty status"
## [80] "Under 18 years"
## [81] "18 to 64 years"
## [82] "65 years and over"
## [83] "Total households for income distribution"
## [84] "Households with income less than $10,000"
## [85] "Households with income $10,000 to $14,999"
## [86] "Households with income $15,000 to $19,999"
## [87] "Households with income $20,000 to $24,999"
## [88] "Households with income $25,000 to $29,999"
## [89] "Households with income $30,000 to $34,999"
## [90] "Households with income $35,000 to $39,999"
## [91] "Households with income $40,000 to $44,999"
## [92] "Households with income $45,000 to $49,999"
## [93] "Households with income $50,000 to $59,999"
## [94] "Households with income $60,000 to $74,999"
## [95] "Households with income $75,000 to $99,999"
## [96] "Households with income $100,000 to $124,999"
## [97] "Households with income $125,000 to $149,999"
## [98] "Households with income $150,000 to 199,999"
## [99] "Households with income $200,000 or more"
## [100] "Total households: White alone"
## [101] "White alone households with income less than $10,000"
## [102] "White alone households with income $10,000 to $14,999"
## [103] "White alone households with income $15,000 to $19,999"
## [104] "White alone households with income $20,000 to $24,999"
## [105] "White alone households with income $25,000 to $29,999"
## [106] "White alone households with income $30,000 to $34,999"
## [107] "White alone households with income $35,000 to $39,999"
## [108] "White alone households with income $40,000 to $44,999"
## [109] "White alone households with income $45,000 to $49,999"
## [110] "White alone households with income $50,000 to $59,999"
## [111] "White alone households with income $60,000 to $74,999"
## [112] "White alone households with income $75,000 to $99,999"
## [113] "White alone households with income $100,000 to $124,999"
## [114] "White alone households with income $125,000 to $149,999"
## [115] "White alone households with income $150,000 to $199,999 over"
## [116] "White alone households with income $200,000 or more"
## [117] "Total households: Black or African American alone"
## [118] "Black or African American alone households with income less than $10,000"
## [119] "Black or African American alone households with income $10,000 to $14,999"
## [120] "Black or African American alone households with income $15,000 to $19,999"
## [121] "Black or African American alone households with income $20,000 to $24,999"
## [122] "Black or African American alone households with income $25,000 to $29,999"
## [123] "Black or African American alone households with income $30,000 to $34,999"
## [124] "Black or African American alone households with income $35,000 to $39,999"
## [125] "Black or African American alone households with income $40,000 to $44,999"
## [126] "Black or African American alone households with income $45,000 to $49,999"
## [127] "Black or African American alone households with income $50,000 to $59,999"
## [128] "Black or African American alone households with income $60,000 to $74,999"
## [129] "Black or African American alone households with income $75,000 to $99,999"
## [130] "Black or African American alone households with income $100,000 to $124,999"
## [131] "Black or African American alone households with income $125,000 to $149,999"
## [132] "Black or African American alone households with income $150,000 to $199,999 over"
## [133] "Black or African American alone households with income $200,000 or more"
## [134] "Total households: American Indian and Alaska Native alone"
## [135] "American Indian and Alaska Native alone households with income less than $10,000"
## [136] "American Indian and Alaska Native alone households with income $10,000 to $14,999"
## [137] "American Indian and Alaska Native alone households with income $15,000 to $19,999"
## [138] "American Indian and Alaska Native alone households with income $20,000 to $24,999"
## [139] "American Indian and Alaska Native alone households with income $25,000 to $29,999"
## [140] "American Indian and Alaska Native alone households with income $30,000 to $34,999"
## [141] "American Indian and Alaska Native alone households with income $35,000 to $39,999"
## [142] "American Indian and Alaska Native alone households with income $40,000 to $44,999"
## [143] "American Indian and Alaska Native alone households with income $45,000 to $49,999"
## [144] "American Indian and Alaska Native alone households with income $50,000 to $59,999"
## [145] "American Indian and Alaska Native alone households with income $60,000 to $74,999"
## [146] "American Indian and Alaska Native alone households with income $75,000 to $99,999"
## [147] "American Indian and Alaska Native alone households with income $100,000 to $124,999"
## [148] "American Indian and Alaska Native alone households with income $125,000 to $149,999"
## [149] "American Indian and Alaska Native alone households with income $150,000 to $199,999 over"
## [150] "American Indian and Alaska Native alone households with income $200,000 or more"
## [151] "Total households: Asian alone"
## [152] "Asian alone households with income less than $10,000"
## [153] "Asian alone households with income $10,000 to $14,999"
## [154] "Asian alone households with income $15,000 to $19,999"
## [155] "Asian alone households with income $20,000 to $24,999"
## [156] "Asian alone households with income $25,000 to $29,999"
## [157] "Asian alone households with income $30,000 to $34,999"
## [158] "Asian alone households with income $35,000 to $39,999"
## [159] "Asian alone households with income $40,000 to $44,999"
## [160] "Asian alone households with income $45,000 to $49,999"
## [161] "Asian alone households with income $50,000 to $59,999"
## [162] "Asian alone households with income $60,000 to $74,999"
## [163] "Asian alone households with income $75,000 to $99,999"
## [164] "Asian alone households with income $100,000 to $124,999"
## [165] "Asian alone households with income $125,000 to $149,999"
## [166] "Asian alone households with incomee $150,000 to $199,999 over"
## [167] "Asian alone households with income $200,000 or more"
## [168] "Total households: Hispanic or Latino"
## [169] "Hispanic or Latino households with income less than $10,000"
## [170] "Hispanic or Latino households with income $10,000 to $14,999"
## [171] "Hispanic or Latino households with income $15,000 to $19,999"
## [172] "Hispanic or Latino households with income $20,000 to $24,999"
## [173] "Hispanic or Latino households with income $25,000 to $29,999"
## [174] "Hispanic or Latino households with income $30,000 to $34,999"
## [175] "Hispanic or Latino households with income $35,000 to $39,999"
## [176] "Hispanic or Latino households with income $40,000 to $44,999"
## [177] "Hispanic or Latino households with income $45,000 to $49,999"
## [178] "Hispanic or Latino households with income $50,000 to $59,999"
## [179] "Hispanic or Latino households with income $60,000 to $74,999"
## [180] "Hispanic or Latino households with income $75,000 to $99,999"
## [181] "Hispanic or Latino households with income $100,000 to $124,999"
## [182] "Hispanic or Latino households with income $125,000 to $149,999"
## [183] "Hispanic or Latino households with income $150,000 to $199,999"
## [184] "Hispanic or Latino households with income $200,000 or more"
## [185] "Median household income"
## [186] "Median household income White alone household"
## [187] "Median household income Black or African American alone households"
## [188] "Median household income American Indian and Alaska Native alone households"
## [189] "Median household income Asian alone households"
## [190] "Median household incom Hispanic or Latino households"
## [191] "Upper Limit Lowest Quintile"
## [192] "Upper Limit Second Quintile"
## [193] "Upper Limit Third Quintile"
## [194] "Upper Limit Fourth Quintile"
## [195] "Lower Limit of Top 5 Percent"
## [196] "Mean Lowest Quintile"
## [197] "Mean Second Quintile"
## [198] "Mean Third Quintile"
## [199] "Mean Fourth Quintile"
## [200] "Mean Highest Quintile"
## [201] "Mean Top 5 Percent"
## [202] "Share of Aggregate Income Lowest Quintile"
## [203] "Share of Aggregate Income Second Quintile"
## [204] "Share of Aggregate Income Third Quintile"
## [205] "Share of Aggregate Income Fourth Quintile"
## [206] "Share of Aggregate Income Highest Quintile"
## [207] "Share of Aggregate Income Top 5 Percent"
## [208] "Gini Index of income inequality"
## [209] "Median family income"
## [210] "Per capita income"
## [211] "Total households by income sources"
## [212] "Households with income from wages and salaries"
## [213] "Households with income from self-employment"
## [214] "Households with income from Social Security"
## [215] "Households with income from public assistance"
## [216] "Households with income from retirement income"
## [217] "Households with income from interest, dividends, and net rental income"
## [218] "Households with income from other sources"
## [219] "Civilian population 18 years and over"
## [220] "Veteran"
## [221] "Nonveteran"
## [222] "Total population by sex and veteran status"
## [223] "Male Veterans"
## [224] "Female Veterans"
## [225] "Male Nonveterans"
## [226] "Female Nonveterans"
## [227] "Total veterans population"
## [228] "Veterans with active duty status"
## [229] "Veterans with retired status"
## [230] "Veterans with discharged status"
## [231] "Veterans with other status"
## [232] "Veterans by age group"
## [233] "Veterans under 35 years"
## [234] "Veterans 35-54 years"
## [235] "Veterans 55 years and over"
## [236] "Veterans by education level"
## [237] "Veterans without high school diploma"
## [238] "Veterans with high school diploma"
## [239] "Veterans with some college"
## [240] "Veterans with bachelor's degree or higher"
## [241] "Total population for class of worker"
## [242] "Private wage and salary workers"
## [243] "Self-employed workers (incorporated)"
## [244] "Self-employed workers (not incorporated)"
## [245] "Government workers"
## [246] "Unpaid family workers"
## [247] "Not classified"
## [248] "Total population 16 years and over for employment status"
## [249] "Population 16 years and over"
## [250] "Civilian labor force"
## [251] "Employed"
## [252] "Unemployed"
## [253] "Not in labor force"
## [254] "Total housing units"
## [255] "Occupied housing units"
## [256] "Vacant housing units"
## [257] "Vacant units for sale only"
## [258] "Median gross rent"
## [259] "Total renter-occupied housing units (rent as % of income)"
## [260] "Renters paying 35% or more of income on rent"
## [261] "Renters paying 40% to 49.9% of income on rent"
## [262] "Renters paying 50% or more of income on rent"
## [263] "Median value of owner-occupied units"
## [264] "Total owner-occupied units with a mortgage (costs as % of income)"
## [265] "Owners with mortgage paying 30% to 34.9% of income"
## [266] "Owners with mortgage paying 35% to 39.9% of income"
## [267] "Owners with mortgage paying 40% to 49.9% of income"
## [268] "Owners with mortgage paying 50% or more of income"
## [269] "Total owner-occupied units without a mortgage"
## [270] "Total housing units with owner costs >50% of income"
## [271] "Housing units with owner costs exceeding 50% of income"
## [272] "Population 25 years and over"
## [273] "High school graduate"
## [274] "Bachelor's degree"
## [275] "Master's degree"
## [276] "Professional school degree"
## [277] "Doctorate degree"
## [278] "Total employed"
## [279] "Employed full-time, year-round"
## [280] "Employed part-time, year-round"
## [281] "Employed part-time, not year-round"
## [282] "Employer provided family workers"## # A tibble: 6 × 282
## GEOID Year `Total population Male` `Male: Under 5 years` `Male: 5-9 years`
## <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 53061 2011 352447 23995 23951
## 2 53061 2012 357586 24021 24212
## 3 53061 2013 362890 24128 24715
## 4 53061 2014 368756 24247 24726
## 5 53061 2015 374847 24310 24732
## 6 53061 2016 380430 24696 24746
## # ℹ 277 more variables: `Male: 10-14 years` <dbl>, `Male: 15-17 years` <dbl>,
## # `Male: 18-19 years` <dbl>, `Male: 20 years` <dbl>, `Male: 21 years` <dbl>,
## # `Male: 22-24 years` <dbl>, `Male: 25-29 years` <dbl>,
## # `Male: 30-34 years` <dbl>, `Male: 35-39 years` <dbl>,
## # `Male: 40-44 years` <dbl>, `Male: 45-49 years` <dbl>,
## # `Male: 50-54 years` <dbl>, `Male: 55-59 years` <dbl>,
## # `Male: 60-61 years` <dbl>, `Male: 62-64 years` <dbl>, …## # A tibble: 6 × 282
## GEOID Year Total population Mal…¹ `Male: Under 5 years` `Male: 5-9 years`
## <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 5.31e10 2011 3614 148 43
## 2 5.31e10 2011 2493 206 272
## 3 5.31e10 2011 1403 109 99
## 4 5.31e10 2011 2195 116 72
## 5 5.31e10 2011 1191 72 91
## 6 5.31e10 2011 2757 199 33
## # ℹ abbreviated name: ¹`Total population Male`
## # ℹ 277 more variables: `Male: 10-14 years` <dbl>, `Male: 15-17 years` <dbl>,
## # `Male: 18-19 years` <dbl>, `Male: 20 years` <dbl>, `Male: 21 years` <dbl>,
## # `Male: 22-24 years` <dbl>, `Male: 25-29 years` <dbl>,
## # `Male: 30-34 years` <dbl>, `Male: 35-39 years` <dbl>,
## # `Male: 40-44 years` <dbl>, `Male: 45-49 years` <dbl>,
## # `Male: 50-54 years` <dbl>, `Male: 55-59 years` <dbl>, …## GEOID Year Total population Male Male: Under 5 years
## Min. :53061 Min. :2011 Min. :352447 Min. :23995
## 1st Qu.:53061 1st Qu.:2014 1st Qu.:367290 1st Qu.:24217
## Median :53061 Median :2016 Median :383754 Median :24903
## Mean :53061 Mean :2016 Mean :384805 Mean :25047
## 3rd Qu.:53061 3rd Qu.:2019 3rd Qu.:402136 3rd Qu.:25931
## Max. :53061 Max. :2022 Max. :418342 Max. :26288
##
## Male: 5-9 years Male: 10-14 years Male: 15-17 years Male: 18-19 years
## Min. :23951 Min. :24330 Min. :15295 Min. :8483
## 1st Qu.:24723 1st Qu.:24670 1st Qu.:15399 1st Qu.:8617
## Median :24882 Median :25268 Median :15430 Median :8847
## Mean :25043 Mean :25639 Mean :15521 Mean :8915
## 3rd Qu.:25237 3rd Qu.:26724 3rd Qu.:15632 3rd Qu.:9166
## Max. :26372 Max. :27296 Max. :15940 Max. :9522
##
## Male: 20 years Male: 21 years Male: 22-24 years Male: 25-29 years
## Min. :4215 Min. :3931 Min. :13848 Min. :25252
## 1st Qu.:4760 1st Qu.:4297 1st Qu.:14679 1st Qu.:26328
## Median :5057 Median :4458 Median :15050 Median :27508
## Mean :4972 Mean :4442 Mean :14931 Mean :27681
## 3rd Qu.:5267 3rd Qu.:4662 3rd Qu.:15349 3rd Qu.:29166
## Max. :5512 Max. :4975 Max. :15542 Max. :30154
##
## Male: 30-34 years Male: 35-39 years Male: 40-44 years Male: 45-49 years
## Min. :24654 Min. :25172 Min. :26343 Min. :27598
## 1st Qu.:26639 1st Qu.:25799 1st Qu.:27237 1st Qu.:28104
## Median :28717 Median :27550 Median :27772 Median :28195
## Mean :28911 Mean :28263 Mean :28014 Mean :28296
## 3rd Qu.:31285 3rd Qu.:30368 3rd Qu.:28266 3rd Qu.:28384
## Max. :33403 Max. :33495 Max. :31155 Max. :29131
##
## Male: 50-54 years Male: 55-59 years Male: 60-61 years Male: 62-64 years
## Min. :27663 Min. :21901 Min. : 7564 Min. :10283
## 1st Qu.:28273 1st Qu.:24242 1st Qu.: 9178 1st Qu.:11715
## Median :28584 Median :26962 Median : 9950 Median :13016
## Mean :28656 Mean :25978 Mean : 9723 Mean :13223
## 3rd Qu.:29194 3rd Qu.:27871 3rd Qu.:10428 3rd Qu.:14692
## Max. :29432 Max. :28372 Max. :10942 Max. :16377
##
## Male: 65-66 years Male: 67-69 years Male: 70-74 years Male: 75-79 years
## Min. :4397 Min. : 6429 Min. : 7601 Min. :5215
## 1st Qu.:5934 1st Qu.: 7930 1st Qu.: 8436 1st Qu.:5454
## Median :7130 Median : 8930 Median :10733 Median :6318
## Mean :6856 Mean : 9048 Mean :10739 Mean :6604
## 3rd Qu.:7543 3rd Qu.:10238 3rd Qu.:12958 3rd Qu.:7650
## Max. :9425 Max. :11500 Max. :13890 Max. :8909
##
## Male: 80-84 years Male: 85 years and over Total population Female
## Min. :3918 Min. :3369 Min. :352089
## 1st Qu.:4372 1st Qu.:3640 1st Qu.:365380
## Median :4518 Median :3808 Median :381522
## Mean :4430 Mean :3871 Mean :381989
## 3rd Qu.:4596 3rd Qu.:4112 3rd Qu.:399864
## Max. :4761 Max. :4415 Max. :409995
##
## Female: Under 5 years Female: 5-9 years Female: 10-14 years
## Min. :22882 Min. :22763 Min. :22607
## 1st Qu.:23024 1st Qu.:23359 1st Qu.:23678
## Median :23548 Median :23710 Median :24962
## Mean :23769 Mean :23796 Mean :24548
## 3rd Qu.:24544 3rd Qu.:24218 3rd Qu.:25205
## Max. :25094 Max. :24793 Max. :25784
##
## Female: 15-17 years Female: 18-19 years Female: 20 years Female: 21 years
## Min. :14584 Min. :7699 Min. :3872 Min. :3795
## 1st Qu.:14695 1st Qu.:7727 1st Qu.:3963 1st Qu.:4413
## Median :14789 Median :7880 Median :4010 Median :4534
## Mean :14825 Mean :7984 Mean :4122 Mean :4497
## 3rd Qu.:14995 3rd Qu.:8132 3rd Qu.:4240 3rd Qu.:4740
## Max. :15108 Max. :8500 Max. :4530 Max. :4954
##
## Female: 22-24 years Female: 25-29 years Female: 30-34 years
## Min. :13186 Min. :24138 Min. :23553
## 1st Qu.:13344 1st Qu.:24666 1st Qu.:25502
## Median :13649 Median :25997 Median :27638
## Mean :13652 Mean :26141 Mean :27757
## 3rd Qu.:13960 3rd Qu.:27561 3rd Qu.:30107
## Max. :14129 Max. :28387 Max. :32092
##
## Female: 35-39 years Female: 40-44 years Female: 45-49 years
## Min. :24422 Min. :25112 Min. :26048
## 1st Qu.:24677 1st Qu.:25922 1st Qu.:27014
## Median :26180 Median :26542 Median :27190
## Mean :27161 Mean :26452 Mean :27338
## 3rd Qu.:29312 3rd Qu.:26934 3rd Qu.:27539
## Max. :31591 Max. :27881 Max. :28705
##
## Female: 50-54 years Female: 55-59 years Female: 60-61 years
## Min. :26410 Min. :23141 Min. : 7940
## 1st Qu.:27379 1st Qu.:25315 1st Qu.: 9465
## Median :28132 Median :26678 Median :10763
## Mean :27971 Mean :26151 Mean :10376
## 3rd Qu.:28738 3rd Qu.:27276 3rd Qu.:11282
## Max. :28991 Max. :28314 Max. :11955
##
## Female: 62-64 years Female: 65-66 years Female: 67-69 years
## Min. :10342 Min. :5445 Min. : 7284
## 1st Qu.:11824 1st Qu.:6633 1st Qu.: 8098
## Median :13389 Median :7570 Median :10288
## Mean :13368 Mean :7507 Mean :10292
## 3rd Qu.:15104 3rd Qu.:8675 3rd Qu.:12450
## Max. :15686 Max. :9215 Max. :13303
##
## Female: 70-74 years Female: 75-79 years Female: 80-84 years
## Min. : 8135 Min. : 7030 Min. :5370
## 1st Qu.:10363 1st Qu.: 7521 1st Qu.:6006
## Median :12175 Median : 8122 Median :6172
## Mean :12151 Mean : 8426 Mean :6132
## 3rd Qu.:13845 3rd Qu.: 9378 3rd Qu.:6336
## Max. :16102 Max. :10806 Max. :6452
##
## Female: 85 years and over Median age Total population Race total
## Min. :6395 Min. :36.90 Min. :704536 Min. :704536
## 1st Qu.:7322 1st Qu.:37.45 1st Qu.:732670 1st Qu.:732670
## Median :7524 Median :37.80 Median :765276 Median :765276
## Mean :7572 Mean :37.70 Mean :766794 Mean :766794
## 3rd Qu.:7766 3rd Qu.:38.00 3rd Qu.:801999 3rd Qu.:801999
## Max. :8707 Max. :38.30 Max. :828337 Max. :828337
##
## White alone Black or African American alone Asian alone
## Min. :567032 Min. :15740 Min. : 61700
## 1st Qu.:577484 1st Qu.:18833 1st Qu.: 68145
## Median :586248 Median :20916 Median : 75262
## Mean :585564 Mean :21709 Mean : 78336
## 3rd Qu.:593358 3rd Qu.:24938 3rd Qu.: 87670
## Max. :601915 Max. :28662 Max. :101576
##
## Native Hawaiian and Other Pacific Islander alone Some other race alone
## Min. :2807 Min. :15459
## 1st Qu.:3114 1st Qu.:16788
## Median :3540 Median :20059
## Mean :3556 Mean :22048
## 3rd Qu.:3943 3rd Qu.:25857
## Max. :4251 Max. :35079
##
## Two or more races Two races including Some other race
## Min. :30535 Min. : 2154
## 1st Qu.:35918 1st Qu.: 2510
## Median :44133 Median : 3852
## Mean :47756 Mean : 7900
## 3rd Qu.:52334 3rd Qu.: 7485
## Max. :80634 Max. :28889
##
## Two races excluding Some other race, and three or more races
## Min. :28381
## 1st Qu.:33408
## Median :40281
## Mean :39856
## 3rd Qu.:44848
## Max. :51745
##
## Hispanic or Latino Total households Family households Nonfamily households
## Min. :60909 Min. :266331 Min. :182491 Min. :142040
## 1st Qu.:68165 1st Qu.:270816 1st Qu.:184378 1st Qu.:143270
## Median :74311 Median :281552 Median :192145 Median :149673
## Mean :75458 Mean :283831 Mean :194672 Mean :151906
## 3rd Qu.:82452 3rd Qu.:295071 3rd Qu.:203986 3rd Qu.:159633
## Max. :91866 Max. :307643 Max. :211860 Max. :167010
##
## Total families Single-parent families
## Min. :182491 Min. :6871
## 1st Qu.:184378 1st Qu.:7158
## Median :192145 Median :7206
## Mean :194672 Mean :7234
## 3rd Qu.:203986 3rd Qu.:7315
## Max. :211860 Max. :7617
##
## Households with people aged 65 and over Households with unmarried partners
## Min. :266331 Min. :15007
## 1st Qu.:268678 1st Qu.:19178
## Median :273140 Median :22961
## Mean :275340 Mean :21636
## 3rd Qu.:280089 3rd Qu.:24714
## Max. :289737 Max. :25305
## NA's :4
## Population below poverty level White alone below poverty level
## Min. :57690 Min. :36113
## 1st Qu.:61429 1st Qu.:39171
## Median :65982 Median :46783
## Mean :66256 Mean :45534
## 3rd Qu.:70772 3rd Qu.:50941
## Max. :74849 Max. :53746
##
## Black or African American alone below poverty level
## Min. :2543
## 1st Qu.:2778
## Median :2876
## Mean :2953
## 3rd Qu.:3236
## Max. :3301
##
## American Indian and Alaska Native alone below poverty level
## Min. : 793
## 1st Qu.:1042
## Median :1134
## Mean :1229
## 3rd Qu.:1433
## Max. :1716
##
## Asian alone below poverty level
## Min. :5987
## 1st Qu.:6195
## Median :6674
## Mean :6646
## 3rd Qu.:6940
## Max. :7692
##
## Native Hawaiian and Other Pacific Islander alone below poverty level
## Min. : 69.0
## 1st Qu.:247.5
## Median :355.0
## Mean :371.2
## 3rd Qu.:469.5
## Max. :705.0
##
## Some other race alone below poverty level
## Min. :2840
## 1st Qu.:3455
## Median :3948
## Mean :3802
## 3rd Qu.:4120
## Max. :4538
##
## Two or more races below poverty level Hispanic or Latino below poverty level
## Min. :4574 Min. : 9106
## 1st Qu.:4974 1st Qu.:10192
## Median :5246 Median :11657
## Mean :5720 Mean :11812
## 3rd Qu.:5905 3rd Qu.:13553
## Max. :8407 Max. :14702
##
## Total population by age for poverty status Under 18 years 18 to 64 years
## Min. :544997 Min. :44179 Min. :18907
## 1st Qu.:572161 1st Qu.:46156 1st Qu.:19382
## Median :601599 Median :48740 Median :20715
## Mean :601629 Mean :49124 Mean :20992
## 3rd Qu.:632017 3rd Qu.:52454 3rd Qu.:22440
## Max. :656981 Max. :54360 Max. :23374
##
## 65 years and over Total households for income distribution
## Min. :1551 Min. :266331
## 1st Qu.:1759 1st Qu.:270816
## Median :1812 Median :281552
## Mean :1875 Mean :283831
## 3rd Qu.:1910 3rd Qu.:295071
## Max. :2368 Max. :307643
##
## Households with income less than $10,000
## Min. : 9084
## 1st Qu.: 9724
## Median :11582
## Mean :11294
## 3rd Qu.:12839
## Max. :13276
##
## Households with income $10,000 to $14,999
## Min. :6149
## 1st Qu.:7096
## Median :7806
## Mean :7613
## 3rd Qu.:8261
## Max. :8653
##
## Households with income $15,000 to $19,999
## Min. :6424
## 1st Qu.:7280
## Median :8518
## Mean :8182
## 3rd Qu.:9174
## Max. :9420
##
## Households with income $20,000 to $24,999
## Min. : 6073
## 1st Qu.: 8402
## Median : 9493
## Mean : 9194
## 3rd Qu.:10546
## Max. :10665
##
## Households with income $25,000 to $29,999
## Min. :6836
## 1st Qu.:8005
## Median :8484
## Mean :8590
## 3rd Qu.:9410
## Max. :9892
##
## Households with income $30,000 to $34,999
## Min. : 6971
## 1st Qu.: 8499
## Median :10315
## Mean : 9826
## 3rd Qu.:11230
## Max. :11931
##
## Households with income $35,000 to $39,999
## Min. : 7381
## 1st Qu.: 9445
## Median :10016
## Mean : 9851
## 3rd Qu.:10441
## Max. :11561
##
## Households with income $40,000 to $44,999
## Min. : 7963
## 1st Qu.: 9019
## Median :10869
## Mean :10453
## 3rd Qu.:11888
## Max. :12104
##
## Households with income $45,000 to $49,999
## Min. : 7153
## 1st Qu.: 8829
## Median : 9968
## Mean : 9650
## 3rd Qu.:10754
## Max. :11047
##
## Households with income $50,000 to $59,999
## Min. :16661
## 1st Qu.:20547
## Median :21128
## Mean :20579
## 3rd Qu.:21291
## Max. :21669
##
## Households with income $60,000 to $74,999
## Min. :27220
## 1st Qu.:28653
## Median :29487
## Mean :29306
## 3rd Qu.:29889
## Max. :31292
##
## Households with income $75,000 to $99,999
## Min. :39331
## 1st Qu.:42314
## Median :42806
## Mean :42816
## 3rd Qu.:43828
## Max. :44712
##
## Households with income $100,000 to $124,999
## Min. :30518
## 1st Qu.:31332
## Median :32734
## Mean :33664
## 3rd Qu.:36234
## Max. :37315
##
## Households with income $125,000 to $149,999
## Min. :17796
## 1st Qu.:19946
## Median :22437
## Mean :23346
## 3rd Qu.:26921
## Max. :29095
##
## Households with income $150,000 to 199,999
## Min. :17110
## 1st Qu.:18842
## Median :24332
## Mean :25987
## 3rd Qu.:32259
## Max. :40073
##
## Households with income $200,000 or more Total households: White alone
## Min. :10740 Min. :226527
## 1st Qu.:12594 1st Qu.:227962
## Median :18949 Median :231756
## Mean :23480 Mean :231541
## 3rd Qu.:30376 3rd Qu.:234804
## Max. :53900 Max. :236864
##
## White alone households with income less than $10,000
## Min. : 6444
## 1st Qu.: 7252
## Median : 8809
## Mean : 8565
## 3rd Qu.: 9958
## Max. :10151
##
## White alone households with income $10,000 to $14,999
## Min. :4937
## 1st Qu.:5758
## Median :6360
## Mean :6214
## 3rd Qu.:6837
## Max. :7233
##
## White alone households with income $15,000 to $19,999
## Min. :4451
## 1st Qu.:5641
## Median :7147
## Mean :6630
## 3rd Qu.:7552
## Max. :8035
##
## White alone households with income $20,000 to $24,999
## Min. :4528
## 1st Qu.:6735
## Median :7655
## Mean :7462
## 3rd Qu.:8767
## Max. :9031
##
## White alone households with income $25,000 to $29,999
## Min. :5305
## 1st Qu.:6435
## Median :7216
## Mean :7188
## 3rd Qu.:8004
## Max. :8647
##
## White alone households with income $30,000 to $34,999
## Min. :5417
## 1st Qu.:7034
## Median :8637
## Mean :8107
## 3rd Qu.:9267
## Max. :9780
##
## White alone households with income $35,000 to $39,999
## Min. :5832
## 1st Qu.:7506
## Median :8239
## Mean :8064
## 3rd Qu.:8823
## Max. :9723
##
## White alone households with income $40,000 to $44,999
## Min. : 5975
## 1st Qu.: 7084
## Median : 8778
## Mean : 8507
## 3rd Qu.: 9870
## Max. :10233
##
## White alone households with income $45,000 to $49,999
## Min. :5563
## 1st Qu.:7234
## Median :8452
## Mean :8037
## 3rd Qu.:9210
## Max. :9498
##
## White alone households with income $50,000 to $59,999
## Min. :12916
## 1st Qu.:16206
## Median :17425
## Mean :16748
## 3rd Qu.:17866
## Max. :18481
##
## White alone households with income $60,000 to $74,999
## Min. :19117
## 1st Qu.:22291
## Median :24627
## Mean :23758
## 3rd Qu.:25057
## Max. :26984
##
## White alone households with income $75,000 to $99,999
## Min. :30387
## 1st Qu.:35596
## Median :36257
## Mean :35477
## 3rd Qu.:36442
## Max. :36740
##
## White alone households with income $100,000 to $124,999
## Min. :25759
## 1st Qu.:26290
## Median :27436
## Mean :27829
## 3rd Qu.:29538
## Max. :30009
##
## White alone households with income $125,000 to $149,999
## Min. :15130
## 1st Qu.:16805
## Median :18504
## Mean :18960
## 3rd Qu.:21284
## Max. :22901
##
## White alone households with income $150,000 to $199,999 over
## Min. :14835
## 1st Qu.:16024
## Median :20413
## Mean :21188
## 3rd Qu.:26069
## Max. :30219
##
## White alone households with income $200,000 or more
## Min. : 9466
## 1st Qu.:10832
## Median :16010
## Mean :18806
## 3rd Qu.:24260
## Max. :39234
##
## Total households: Black or African American alone
## Min. : 5488
## 1st Qu.: 6601
## Median : 7410
## Mean : 7703
## 3rd Qu.: 8606
## Max. :10112
##
## Black or African American alone households with income less than $10,000
## Min. :244.0
## 1st Qu.:284.8
## Median :416.5
## Mean :412.6
## 3rd Qu.:533.2
## Max. :581.0
##
## Black or African American alone households with income $10,000 to $14,999
## Min. :137.0
## 1st Qu.:203.8
## Median :273.0
## Mean :264.9
## 3rd Qu.:295.2
## Max. :440.0
##
## Black or African American alone households with income $15,000 to $19,999
## Min. :134.0
## 1st Qu.:307.5
## Median :330.5
## Mean :348.9
## 3rd Qu.:433.0
## Max. :533.0
##
## Black or African American alone households with income $20,000 to $24,999
## Min. :228.0
## 1st Qu.:246.0
## Median :281.0
## Mean :279.4
## 3rd Qu.:305.2
## Max. :327.0
##
## Black or African American alone households with income $25,000 to $29,999
## Min. :162.0
## 1st Qu.:216.2
## Median :288.0
## Mean :274.1
## 3rd Qu.:315.2
## Max. :383.0
##
## Black or African American alone households with income $30,000 to $34,999
## Min. :168.0
## 1st Qu.:239.2
## Median :316.0
## Mean :302.2
## 3rd Qu.:353.8
## Max. :433.0
##
## Black or African American alone households with income $35,000 to $39,999
## Min. :195.0
## 1st Qu.:259.8
## Median :294.0
## Mean :307.0
## 3rd Qu.:358.5
## Max. :497.0
##
## Black or African American alone households with income $40,000 to $44,999
## Min. :227.0
## 1st Qu.:330.5
## Median :364.5
## Mean :370.3
## 3rd Qu.:385.2
## Max. :591.0
##
## Black or African American alone households with income $45,000 to $49,999
## Min. :143.0
## 1st Qu.:207.0
## Median :235.5
## Mean :239.4
## 3rd Qu.:269.8
## Max. :383.0
##
## Black or African American alone households with income $50,000 to $59,999
## Min. : 532.0
## 1st Qu.: 566.0
## Median : 658.0
## Mean : 721.3
## 3rd Qu.: 738.5
## Max. :1232.0
##
## Black or African American alone households with income $60,000 to $74,999
## Min. : 608.0
## 1st Qu.: 706.2
## Median : 908.0
## Mean :1029.4
## 3rd Qu.:1200.5
## Max. :1721.0
##
## Black or African American alone households with income $75,000 to $99,999
## Min. : 535.0
## 1st Qu.: 911.5
## Median :1033.0
## Mean :1072.4
## 3rd Qu.:1320.2
## Max. :1624.0
##
## Black or African American alone households with income $100,000 to $124,999
## Min. : 535.0
## 1st Qu.: 764.2
## Median : 821.5
## Mean : 881.4
## 3rd Qu.: 957.2
## Max. :1422.0
##
## Black or African American alone households with income $125,000 to $149,999
## Min. :193.0
## 1st Qu.:239.2
## Median :406.0
## Mean :438.9
## 3rd Qu.:593.2
## Max. :893.0
##
## Black or African American alone households with income $150,000 to $199,999 over
## Min. :164.0
## 1st Qu.:282.8
## Median :405.5
## Mean :433.2
## 3rd Qu.:554.5
## Max. :801.0
##
## Black or African American alone households with income $200,000 or more
## Min. : 65.0
## 1st Qu.:165.0
## Median :203.5
## Mean :327.6
## 3rd Qu.:343.8
## Max. :968.0
##
## Total households: American Indian and Alaska Native alone
## Min. :2210
## 1st Qu.:2413
## Median :2634
## Mean :2724
## 3rd Qu.:3134
## Max. :3287
##
## American Indian and Alaska Native alone households with income less than $10,000
## Min. : 50.0
## 1st Qu.:114.2
## Median :209.5
## Mean :191.9
## 3rd Qu.:262.0
## Max. :323.0
##
## American Indian and Alaska Native alone households with income $10,000 to $14,999
## Min. : 33.00
## 1st Qu.: 88.25
## Median :124.00
## Mean :128.92
## 3rd Qu.:172.00
## Max. :212.00
##
## American Indian and Alaska Native alone households with income $15,000 to $19,999
## Min. : 39.0
## 1st Qu.: 91.5
## Median :112.5
## Mean :107.7
## 3rd Qu.:127.5
## Max. :159.0
##
## American Indian and Alaska Native alone households with income $20,000 to $24,999
## Min. : 67.00
## 1st Qu.: 92.75
## Median :108.00
## Mean :122.00
## 3rd Qu.:154.00
## Max. :188.00
##
## American Indian and Alaska Native alone households with income $25,000 to $29,999
## Min. : 42.00
## 1st Qu.: 51.00
## Median : 73.00
## Mean : 73.08
## 3rd Qu.: 88.75
## Max. :105.00
##
## American Indian and Alaska Native alone households with income $30,000 to $34,999
## Min. : 13.00
## 1st Qu.: 83.50
## Median : 99.50
## Mean : 94.83
## 3rd Qu.:113.00
## Max. :156.00
##
## American Indian and Alaska Native alone households with income $35,000 to $39,999
## Min. : 47.0
## 1st Qu.:116.2
## Median :135.0
## Mean :134.4
## 3rd Qu.:167.0
## Max. :214.0
##
## American Indian and Alaska Native alone households with income $40,000 to $44,999
## Min. : 57.00
## 1st Qu.: 92.25
## Median :128.00
## Mean :116.33
## 3rd Qu.:136.50
## Max. :173.00
##
## American Indian and Alaska Native alone households with income $45,000 to $49,999
## Min. : 23.00
## 1st Qu.: 63.75
## Median : 80.50
## Mean : 74.50
## 3rd Qu.: 92.50
## Max. :112.00
##
## American Indian and Alaska Native alone households with income $50,000 to $59,999
## Min. : 72.0
## 1st Qu.:163.0
## Median :202.0
## Mean :208.3
## 3rd Qu.:227.0
## Max. :397.0
##
## American Indian and Alaska Native alone households with income $60,000 to $74,999
## Min. :193.0
## 1st Qu.:236.0
## Median :260.0
## Mean :283.2
## 3rd Qu.:342.2
## Max. :392.0
##
## American Indian and Alaska Native alone households with income $75,000 to $99,999
## Min. :263.0
## 1st Qu.:321.2
## Median :407.0
## Mean :410.9
## 3rd Qu.:508.5
## Max. :568.0
##
## American Indian and Alaska Native alone households with income $100,000 to $124,999
## Min. :168.0
## 1st Qu.:183.5
## Median :241.0
## Mean :247.4
## 3rd Qu.:271.5
## Max. :363.0
##
## American Indian and Alaska Native alone households with income $125,000 to $149,999
## Min. : 97.0
## 1st Qu.:133.0
## Median :154.0
## Mean :188.5
## 3rd Qu.:246.5
## Max. :317.0
##
## American Indian and Alaska Native alone households with income $150,000 to $199,999 over
## Min. :118.0
## 1st Qu.:142.5
## Median :151.5
## Mean :195.7
## 3rd Qu.:245.8
## Max. :380.0
##
## American Indian and Alaska Native alone households with income $200,000 or more
## Min. : 73.0
## 1st Qu.:104.5
## Median :113.0
## Mean :145.8
## 3rd Qu.:184.2
## Max. :352.0
##
## Total households: Asian alone
## Min. :19542
## 1st Qu.:20990
## Median :22828
## Mean :24695
## 3rd Qu.:28094
## Max. :33555
##
## Asian alone households with income less than $10,000
## Min. : 980
## 1st Qu.:1210
## Median :1271
## Mean :1260
## 3rd Qu.:1318
## Max. :1470
##
## Asian alone households with income $10,000 to $14,999
## Min. :369.0
## 1st Qu.:412.8
## Median :500.5
## Mean :488.2
## 3rd Qu.:544.2
## Max. :647.0
##
## Asian alone households with income $15,000 to $19,999
## Min. : 535.0
## 1st Qu.: 617.0
## Median : 647.5
## Mean : 674.1
## 3rd Qu.: 688.8
## Max. :1000.0
##
## Asian alone households with income $20,000 to $24,999
## Min. :516.0
## 1st Qu.:618.8
## Median :725.0
## Mean :699.9
## 3rd Qu.:768.8
## Max. :858.0
##
## Asian alone households with income $25,000 to $29,999
## Min. :407.0
## 1st Qu.:430.2
## Median :466.5
## Mean :480.2
## 3rd Qu.:496.8
## Max. :626.0
##
## Asian alone households with income $30,000 to $34,999
## Min. :371.0
## 1st Qu.:536.5
## Median :638.5
## Mean :641.8
## 3rd Qu.:759.0
## Max. :886.0
##
## Asian alone households with income $35,000 to $39,999
## Min. :523.0
## 1st Qu.:610.8
## Median :729.0
## Mean :707.0
## 3rd Qu.:779.2
## Max. :991.0
##
## Asian alone households with income $40,000 to $44,999
## Min. :457.0
## 1st Qu.:641.8
## Median :678.5
## Mean :691.3
## 3rd Qu.:763.8
## Max. :888.0
##
## Asian alone households with income $45,000 to $49,999
## Min. :406.0
## 1st Qu.:469.2
## Median :649.5
## Mean :630.2
## 3rd Qu.:736.8
## Max. :908.0
##
## Asian alone households with income $50,000 to $59,999
## Min. : 981
## 1st Qu.:1369
## Median :1438
## Mean :1460
## 3rd Qu.:1532
## Max. :1949
##
## Asian alone households with income $60,000 to $74,999
## Min. :1755
## 1st Qu.:2046
## Median :2104
## Mean :2190
## 3rd Qu.:2247
## Max. :2790
##
## Asian alone households with income $75,000 to $99,999
## Min. :3090
## 1st Qu.:3121
## Median :3267
## Mean :3320
## 3rd Qu.:3504
## Max. :3632
##
## Asian alone households with income $100,000 to $124,999
## Min. :2316
## 1st Qu.:2742
## Median :2972
## Mean :2889
## 3rd Qu.:3112
## Max. :3304
##
## Asian alone households with income $125,000 to $149,999
## Min. :1660
## 1st Qu.:2058
## Median :2446
## Mean :2535
## 3rd Qu.:3102
## Max. :3465
##
## Asian alone households with incomee $150,000 to $199,999 over
## Min. :1502
## 1st Qu.:1762
## Median :2374
## Mean :2900
## 3rd Qu.:3752
## Max. :5696
##
## Asian alone households with income $200,000 or more
## Min. : 930
## 1st Qu.:1191
## Median :2090
## Mean :3128
## 3rd Qu.:4404
## Max. :8950
##
## Total households: Hispanic or Latino
## Min. :15641
## 1st Qu.:16804
## Median :18718
## Mean :18931
## 3rd Qu.:21003
## Max. :22548
##
## Hispanic or Latino households with income less than $10,000
## Min. :484.0
## 1st Qu.:705.2
## Median :788.0
## Mean :750.7
## 3rd Qu.:834.0
## Max. :929.0
##
## Hispanic or Latino households with income $10,000 to $14,999
## Min. :274.0
## 1st Qu.:395.0
## Median :618.0
## Mean :557.5
## 3rd Qu.:652.8
## Max. :792.0
##
## Hispanic or Latino households with income $15,000 to $19,999
## Min. :307.0
## 1st Qu.:418.8
## Median :575.5
## Mean :581.0
## 3rd Qu.:765.2
## Max. :843.0
##
## Hispanic or Latino households with income $20,000 to $24,999
## Min. :408.0
## 1st Qu.:631.2
## Median :786.0
## Mean :740.7
## 3rd Qu.:841.8
## Max. :950.0
##
## Hispanic or Latino households with income $25,000 to $29,999
## Min. : 569.0
## 1st Qu.: 691.0
## Median : 766.5
## Mean : 780.1
## 3rd Qu.: 852.8
## Max. :1031.0
##
## Hispanic or Latino households with income $30,000 to $34,999
## Min. : 801.0
## 1st Qu.: 971.2
## Median :1065.0
## Mean :1043.4
## 3rd Qu.:1124.5
## Max. :1307.0
##
## Hispanic or Latino households with income $35,000 to $39,999
## Min. : 671.0
## 1st Qu.: 863.8
## Median :1060.5
## Mean : 996.8
## 3rd Qu.:1151.0
## Max. :1198.0
##
## Hispanic or Latino households with income $40,000 to $44,999
## Min. : 716.0
## 1st Qu.: 852.2
## Median : 958.0
## Mean : 985.2
## 3rd Qu.:1161.5
## Max. :1233.0
##
## Hispanic or Latino households with income $45,000 to $49,999
## Min. :533.0
## 1st Qu.:732.0
## Median :818.0
## Mean :806.5
## 3rd Qu.:886.8
## Max. :986.0
##
## Hispanic or Latino households with income $50,000 to $59,999
## Min. :1206
## 1st Qu.:1559
## Median :1914
## Mean :1833
## 3rd Qu.:2159
## Max. :2293
##
## Hispanic or Latino households with income $60,000 to $74,999
## Min. :1641
## 1st Qu.:1839
## Median :2126
## Mean :2162
## 3rd Qu.:2508
## Max. :2778
##
## Hispanic or Latino households with income $75,000 to $99,999
## Min. :1782
## 1st Qu.:2072
## Median :2341
## Mean :2517
## 3rd Qu.:3050
## Max. :3413
##
## Hispanic or Latino households with income $100,000 to $124,999
## Min. :1332
## 1st Qu.:1524
## Median :1724
## Mean :1874
## 3rd Qu.:2204
## Max. :2543
##
## Hispanic or Latino households with income $125,000 to $149,999
## Min. : 493.0
## 1st Qu.: 778.5
## Median :1005.0
## Mean :1086.5
## 3rd Qu.:1354.0
## Max. :1863.0
##
## Hispanic or Latino households with income $150,000 to $199,999
## Min. : 598.0
## 1st Qu.: 668.8
## Median :1027.5
## Mean :1201.9
## 3rd Qu.:1628.0
## Max. :2270.0
##
## Hispanic or Latino households with income $200,000 or more
## Min. : 380.0
## 1st Qu.: 391.8
## Median : 627.0
## Mean :1015.4
## 3rd Qu.:1283.8
## Max. :2959.0
##
## Median household income Median household income White alone household
## Min. : 67777 Min. : 68755
## 1st Qu.: 69178 1st Qu.: 69720
## Median : 75774 Median : 76411
## Mean : 79552 Mean : 80196
## 3rd Qu.: 87336 3rd Qu.: 88008
## Max. :104083 Max. :103976
##
## Median household income Black or African American alone households
## Min. :48387
## 1st Qu.:55654
## Median :61130
## Mean :62187
## 3rd Qu.:69780
## Max. :78874
##
## Median household income American Indian and Alaska Native alone households
## Min. : 55880
## 1st Qu.: 58618
## Median : 59643
## Mean : 68971
## 3rd Qu.: 74147
## Max. :110529
##
## Median household income Asian alone households
## Min. : 74392
## 1st Qu.: 77822
## Median : 87212
## Mean : 92811
## 3rd Qu.:103986
## Max. :132726
##
## Median household incom Hispanic or Latino households
## Min. :48917
## 1st Qu.:51882
## Median :57256
## Mean :61823
## 3rd Qu.:68893
## Max. :86960
##
## Upper Limit Lowest Quintile Upper Limit Second Quintile
## Min. :31250 Min. :54959
## 1st Qu.:31768 1st Qu.:55524
## Median :34333 Median :61390
## Mean :36636 Mean :64453
## 3rd Qu.:40630 3rd Qu.:71309
## Max. :47789 Max. :84377
##
## Upper Limit Third Quintile Upper Limit Fourth Quintile
## Min. : 81537 Min. :117735
## 1st Qu.: 83720 1st Qu.:122266
## Median : 91061 Median :134070
## Mean : 95570 Mean :140648
## 3rd Qu.:104398 3rd Qu.:153985
## Max. :125007 Max. :187864
##
## Lower Limit of Top 5 Percent Mean Lowest Quintile Mean Second Quintile
## Min. :187649 Min. :17068 Min. :43147
## 1st Qu.:195696 1st Qu.:17594 1st Qu.:43616
## Median :217528 Median :18685 Median :47974
## Mean :219948 Mean :20156 Mean :50622
## 3rd Qu.:249329 3rd Qu.:22523 3rd Qu.:56021
## Max. :250001 Max. :25933 Max. :66311
##
## Mean Third Quintile Mean Fourth Quintile Mean Highest Quintile
## Min. : 68024 Min. : 98209 Min. :177749
## 1st Qu.: 69339 1st Qu.:101359 1st Qu.:183901
## Median : 75887 Median :110510 Median :206313
## Mean : 79737 Mean :115986 Mean :216580
## 3rd Qu.: 87540 3rd Qu.:126695 3rd Qu.:237771
## Max. :104285 Max. :152966 Max. :299311
##
## Mean Top 5 Percent Share of Aggregate Income Lowest Quintile
## Min. :275057 Min. :4.000
## 1st Qu.:285582 1st Qu.:4.080
## Median :326598 Median :4.170
## Mean :344154 Mean :4.182
## 3rd Qu.:377011 3rd Qu.:4.242
## Max. :494257 Max. :4.460
##
## Share of Aggregate Income Second Quintile
## Min. :10.22
## 1st Qu.:10.41
## Median :10.51
## Mean :10.49
## 3rd Qu.:10.55
## Max. :10.69
##
## Share of Aggregate Income Third Quintile
## Min. :16.07
## 1st Qu.:16.46
## Median :16.55
## Mean :16.54
## 3rd Qu.:16.69
## Max. :16.83
##
## Share of Aggregate Income Fourth Quintile
## Min. :23.58
## 1st Qu.:23.89
## Median :24.06
## Mean :24.05
## 3rd Qu.:24.27
## Max. :24.44
##
## Share of Aggregate Income Highest Quintile
## Min. :43.75
## 1st Qu.:44.27
## Median :44.78
## Mean :44.74
## 3rd Qu.:45.02
## Max. :46.13
##
## Share of Aggregate Income Top 5 Percent Gini Index of income inequality
## Min. :16.87 Min. :0.3959
## 1st Qu.:17.20 1st Qu.:0.4032
## Median :17.70 Median :0.4062
## Mean :17.73 Mean :0.4063
## 3rd Qu.:17.98 3rd Qu.:0.4101
## Max. :19.04 Max. :0.4204
##
## Median family income Per capita income Total households by income sources
## Min. : 79144 Min. :31276 Min. :562380
## 1st Qu.: 81681 1st Qu.:31674 1st Qu.:588860
## Median : 88832 Median :34810 Median :618499
## Mean : 93145 Mean :36646 Mean :618952
## 3rd Qu.:102213 3rd Qu.:39927 3rd Qu.:649949
## Max. :121379 Max. :49215 Max. :674547
##
## Households with income from wages and salaries
## Min. :279850
## 1st Qu.:293759
## Median :308654
## Mean :309076
## 3rd Qu.:324066
## Max. :339278
##
## Households with income from self-employment
## Min. :145071
## 1st Qu.:149528
## Median :166737
## Mean :166120
## 3rd Qu.:181567
## Max. :188623
##
## Households with income from Social Security
## Min. :0
## 1st Qu.:0
## Median :0
## Mean :0
## 3rd Qu.:0
## Max. :0
##
## Households with income from public assistance
## Min. :145071
## 1st Qu.:149528
## Median :166737
## Mean :166120
## 3rd Qu.:181567
## Max. :188623
##
## Households with income from retirement income
## Min. :216.0
## 1st Qu.:268.2
## Median :304.5
## Mean :317.1
## 3rd Qu.:353.8
## Max. :468.0
##
## Households with income from interest, dividends, and net rental income
## Min. : 84.0
## 1st Qu.:124.5
## Median :132.0
## Mean :142.7
## 3rd Qu.:148.5
## Max. :239.0
##
## Households with income from other sources
## Min. :369.0
## 1st Qu.:393.5
## Median :437.0
## Mean :471.2
## 3rd Qu.:552.5
## Max. :687.0
##
## Civilian population 18 years and over Veteran Nonveteran
## Min. :526622 Min. :48569 Min. :467171
## 1st Qu.:554861 1st Qu.:51528 1st Qu.:498774
## Median :584930 Median :52560 Median :532464
## Mean :584861 Mean :53608 Mean :531253
## 3rd Qu.:616308 3rd Qu.:56087 3rd Qu.:564780
## Max. :640551 Max. :59451 Max. :591982
##
## Total population by sex and veteran status Male Veterans Female Veterans
## Min. :48569 Min. :3510 Min. :2809
## 1st Qu.:51528 1st Qu.:4617 1st Qu.:3209
## Median :52560 Median :5404 Median :3598
## Mean :53608 Mean :5841 Mean :3544
## 3rd Qu.:56087 3rd Qu.:7078 3rd Qu.:3890
## Max. :59451 Max. :8629 Max. :4253
##
## Male Nonveterans Female Nonveterans Total veterans population
## Min. : 29.00 Min. :7080 Min. :466380
## 1st Qu.: 62.50 1st Qu.:7133 1st Qu.:492144
## Median : 78.00 Median :7246 Median :521767
## Mean : 78.75 Mean :7279 Mean :522867
## 3rd Qu.:100.50 3rd Qu.:7343 3rd Qu.:554972
## Max. :127.00 Max. :7690 Max. :578277
##
## Veterans with active duty status Veterans with retired status
## Min. :47904 Min. :1749
## 1st Qu.:50895 1st Qu.:1856
## Median :51768 Median :2092
## Mean :52850 Mean :2295
## 3rd Qu.:55277 3rd Qu.:2770
## Max. :58479 Max. :3204
##
## Veterans with discharged status Veterans with other status
## Min. :11508 Min. :21175
## 1st Qu.:11926 1st Qu.:22632
## Median :12210 Median :22960
## Mean :12521 Mean :23515
## 3rd Qu.:12938 3rd Qu.:24841
## Max. :14303 Max. :25942
##
## Veterans by age group Veterans under 35 years Veterans 35-54 years
## Min. :34246 Min. :46365 Min. :47708
## 1st Qu.:34606 1st Qu.:46994 1st Qu.:48132
## Median :36544 Median :49294 Median :50470
## Mean :38693 Mean :50590 Mean :51772
## 3rd Qu.:41558 3rd Qu.:53370 3rd Qu.:54470
## Max. :50288 Max. :59038 Max. :60374
##
## Veterans 55 years and over Veterans by education level
## Min. :31573 Min. :455094
## 1st Qu.:32570 1st Qu.:473255
## Median :36162 Median :491460
## Mean :37331 Mean :491233
## 3rd Qu.:41557 3rd Qu.:510472
## Max. :47821 Max. :523687
##
## Veterans without high school diploma Veterans with high school diploma
## Min. :156060 Min. :4569
## 1st Qu.:164418 1st Qu.:4744
## Median :171552 Median :4800
## Mean :171034 Mean :5002
## 3rd Qu.:178850 3rd Qu.:5423
## Max. :183059 Max. :5584
##
## Veterans with some college Veterans with bachelor's degree or higher
## Min. :3649 Min. :3337
## 1st Qu.:3850 1st Qu.:3647
## Median :3920 Median :3746
## Mean :4084 Mean :3740
## 3rd Qu.:4366 3rd Qu.:3832
## Max. :4775 Max. :4258
##
## Total population for class of worker Private wage and salary workers
## Min. :397477 Min. :31670
## 1st Qu.:412750 1st Qu.:32228
## Median :430564 Median :32548
## Mean :431461 Mean :32480
## 3rd Qu.:451257 3rd Qu.:32798
## Max. :463474 Max. :33058
##
## Self-employed workers (incorporated) Self-employed workers (not incorporated)
## Min. :21336 Min. : 0
## 1st Qu.:31830 1st Qu.:14492
## Median :35832 Median :20172
## Mean :32674 Mean :15505
## 3rd Qu.:37058 3rd Qu.:20825
## Max. :38083 Max. :22229
##
## Government workers Unpaid family workers Not classified
## Min. :20763 Min. :18089 Min. :1033
## 1st Qu.:20986 1st Qu.:18240 1st Qu.:1450
## Median :21311 Median :18844 Median :2070
## Mean :21296 Mean :19086 Mean :2211
## 3rd Qu.:21529 3rd Qu.:19906 3rd Qu.:3098
## Max. :21935 Max. :20536 Max. :3539
##
## Total population 16 years and over for employment status
## Min. :552265
## 1st Qu.:579142
## Median :609015
## Mean :609282
## 3rd Qu.:640598
## Max. :664685
##
## Population 16 years and over Civilian labor force Employed
## Min. :385765 Min. :381055 Min. :349680
## 1st Qu.:395513 1st Qu.:391746 1st Qu.:357074
## Median :411773 Median :408175 Median :384551
## Mean :414320 Mean :410576 Mean :385138
## 3rd Qu.:432634 3rd Qu.:429078 3rd Qu.:411510
## Max. :448066 Max. :444803 Max. :425167
##
## Unemployed Not in labor force Total housing units Occupied housing units
## Min. :17416 Min. :3202 Min. :284480 Min. :266331
## 1st Qu.:19198 1st Qu.:3450 1st Qu.:290943 1st Qu.:270816
## Median :23624 Median :3666 Median :299952 Median :281552
## Mean :25438 Mean :3744 Mean :301542 Mean :283831
## 3rd Qu.:31848 3rd Qu.:3912 3rd Qu.:311118 3rd Qu.:295071
## Max. :36021 Max. :4710 Max. :323438 Max. :307643
##
## Vacant housing units Vacant units for sale only Median gross rent
## Min. :15275 Min. : 821.0 Min. :1052
## 1st Qu.:16177 1st Qu.: 888.8 1st Qu.:1122
## Median :18198 Median : 998.0 Median :1233
## Mean :17711 Mean : 974.2 Mean :1312
## 3rd Qu.:18759 3rd Qu.:1063.5 3rd Qu.:1457
## Max. :20144 Max. :1121.0 Max. :1794
##
## Total renter-occupied housing units (rent as % of income)
## Min. :85791
## 1st Qu.:90436
## Median :94718
## Mean :93149
## 3rd Qu.:96079
## Max. :96712
##
## Renters paying 35% or more of income on rent
## Min. : 8558
## 1st Qu.: 8882
## Median : 9335
## Mean : 9515
## 3rd Qu.:10034
## Max. :10858
##
## Renters paying 40% to 49.9% of income on rent
## Min. :5601
## 1st Qu.:5889
## Median :6162
## Mean :6089
## 3rd Qu.:6279
## Max. :6655
##
## Renters paying 50% or more of income on rent
## Min. :7464
## 1st Qu.:8303
## Median :8482
## Mean :8354
## 3rd Qu.:8525
## Max. :8738
##
## Median value of owner-occupied units
## Min. :287500
## 1st Qu.:305600
## Median :335200
## Mean :371275
## 3rd Qu.:412275
## Max. :592800
##
## Total owner-occupied units with a mortgage (costs as % of income)
## Min. :179550
## 1st Qu.:180655
## Median :186834
## Mean :190682
## 3rd Qu.:198682
## Max. :210931
##
## Owners with mortgage paying 30% to 34.9% of income
## Min. :19359
## 1st Qu.:21635
## Median :27064
## Mean :25659
## 3rd Qu.:29362
## Max. :30319
##
## Owners with mortgage paying 35% to 39.9% of income
## Min. :22877
## 1st Qu.:23449
## Median :25644
## Mean :25602
## 3rd Qu.:27662
## Max. :28094
##
## Owners with mortgage paying 40% to 49.9% of income
## Min. :19605
## 1st Qu.:19886
## Median :19996
## Mean :20140
## 3rd Qu.:20233
## Max. :21092
##
## Owners with mortgage paying 50% or more of income
## Min. :11854
## 1st Qu.:12222
## Median :12778
## Mean :13617
## 3rd Qu.:14956
## Max. :17021
##
## Total owner-occupied units without a mortgage
## Min. :20.30
## 1st Qu.:20.48
## Median :21.50
## Mean :22.32
## 3rd Qu.:24.07
## Max. :25.90
##
## Total housing units with owner costs >50% of income
## Min. :266331
## 1st Qu.:270816
## Median :281552
## Mean :283831
## 3rd Qu.:295071
## Max. :307643
##
## Housing units with owner costs exceeding 50% of income
## Min. :3314
## 1st Qu.:3746
## Median :4402
## Mean :4522
## 3rd Qu.:5166
## Max. :5982
##
## Population 25 years and over High school graduate Bachelor's degree
## Min. : 0 Min. : 0 Min. : 0
## 1st Qu.:494356 1st Qu.:101574 1st Qu.:52522
## Median :524034 Median :104161 Median :54485
## Mean :486006 Mean : 96769 Mean :51694
## 3rd Qu.:557093 3rd Qu.:108309 3rd Qu.:60056
## Max. :580338 Max. :111252 Max. :62517
##
## Master's degree Professional school degree Doctorate degree Total employed
## Min. : 0 Min. : 0 Min. : 0 Min. : 0
## 1st Qu.:101299 1st Qu.:32586 1st Qu.:6694 1st Qu.:436260
## Median :112124 Median :37166 Median :7886 Median :609015
## Mean :105132 Mean :36491 Mean :7018 Mean :468820
## 3rd Qu.:123515 3rd Qu.:44784 3rd Qu.:8220 3rd Qu.:640598
## Max. :135876 Max. :53933 Max. :8605 Max. :664685
##
## Employed full-time, year-round Employed part-time, year-round
## Min. : 0 Min. : 0
## 1st Qu.:27717 1st Qu.:11578
## Median :36994 Median :16048
## Mean :27933 Mean :12438
## 3rd Qu.:37278 3rd Qu.:17174
## Max. :37856 Max. :17698
##
## Employed part-time, not year-round Employer provided family workers
## Min. : 0.0 Min. : 0
## 1st Qu.: 662.2 1st Qu.:33994
## Median :1315.0 Median :46578
## Mean :1070.3 Mean :35299
## 3rd Qu.:1547.8 3rd Qu.:47470
## Max. :1845.0 Max. :48378
## ## GEOID Year Total population Male Male: Under 5 years
## Min. :5.306e+10 Min. :2011 Min. : 0 Min. : 0.0
## 1st Qu.:5.306e+10 1st Qu.:2014 1st Qu.:1983 1st Qu.: 95.0
## Median :5.306e+10 Median :2017 Median :2459 Median :144.0
## Mean :5.306e+10 Mean :2017 Mean :2451 Mean :159.5
## 3rd Qu.:5.306e+10 3rd Qu.:2020 3rd Qu.:2954 3rd Qu.:210.0
## Max. :5.306e+10 Max. :2022 Max. :6106 Max. :681.0
##
## Male: 5-9 years Male: 10-14 years Male: 15-17 years Male: 18-19 years
## Min. : 0.0 Min. : 0.0 Min. : 0.00 Min. : 0.00
## 1st Qu.: 90.0 1st Qu.: 98.0 1st Qu.: 54.00 1st Qu.: 24.00
## Median :143.5 Median :151.0 Median : 90.00 Median : 48.00
## Mean :159.5 Mean :163.3 Mean : 98.86 Mean : 56.79
## 3rd Qu.:209.0 3rd Qu.:216.0 3rd Qu.:133.00 3rd Qu.: 80.00
## Max. :841.0 Max. :691.0 Max. :427.00 Max. :395.00
##
## Male: 20 years Male: 21 years Male: 22-24 years Male: 25-29 years
## Min. : 0.00 Min. : 0.00 Min. : 0.0 Min. : 0.0
## 1st Qu.: 8.00 1st Qu.: 7.00 1st Qu.: 43.0 1st Qu.: 90.0
## Median : 23.00 Median : 21.00 Median : 78.0 Median :156.0
## Mean : 31.67 Mean : 28.29 Mean : 95.1 Mean :176.3
## 3rd Qu.: 45.25 3rd Qu.: 40.00 3rd Qu.:126.2 3rd Qu.:236.0
## Max. :408.00 Max. :250.00 Max. :566.0 Max. :787.0
##
## Male: 30-34 years Male: 35-39 years Male: 40-44 years Male: 45-49 years
## Min. : 0.0 Min. : 0 Min. : 0.0 Min. : 0.0
## 1st Qu.:106.0 1st Qu.:114 1st Qu.:111.0 1st Qu.:124.0
## Median :164.0 Median :166 Median :166.0 Median :174.0
## Mean :184.1 Mean :180 Mean :178.4 Mean :180.2
## 3rd Qu.:248.0 3rd Qu.:231 3rd Qu.:232.0 3rd Qu.:230.0
## Max. :724.0 Max. :661 Max. :705.0 Max. :538.0
##
## Male: 50-54 years Male: 55-59 years Male: 60-61 years Male: 62-64 years
## Min. : 0.0 Min. : 0.0 Min. : 0.00 Min. : 0.00
## 1st Qu.:117.0 1st Qu.:111.0 1st Qu.: 32.00 1st Qu.: 51.00
## Median :172.0 Median :154.0 Median : 55.00 Median : 76.00
## Mean :182.5 Mean :165.5 Mean : 61.93 Mean : 84.22
## 3rd Qu.:240.0 3rd Qu.:209.0 3rd Qu.: 83.25 3rd Qu.:108.00
## Max. :572.0 Max. :555.0 Max. :387.00 Max. :326.00
##
## Male: 65-66 years Male: 67-69 years Male: 70-74 years Male: 75-79 years
## Min. : 0.00 Min. : 0.00 Min. : 0.0 Min. : 0.00
## 1st Qu.: 20.00 1st Qu.: 28.00 1st Qu.: 35.0 1st Qu.: 18.00
## Median : 37.00 Median : 50.00 Median : 61.0 Median : 35.00
## Mean : 43.67 Mean : 57.63 Mean : 68.4 Mean : 42.06
## 3rd Qu.: 60.00 3rd Qu.: 78.00 3rd Qu.: 94.0 3rd Qu.: 57.00
## Max. :348.00 Max. :264.00 Max. :354.0 Max. :399.00
##
## Male: 80-84 years Male: 85 years and over Total population Female
## Min. : 0.00 Min. : 0.00 Min. : 0
## 1st Qu.: 9.00 1st Qu.: 7.00 1st Qu.:1953
## Median : 21.00 Median : 17.00 Median :2437
## Mean : 28.22 Mean : 24.66 Mean :2433
## 3rd Qu.: 39.00 3rd Qu.: 34.00 3rd Qu.:2943
## Max. :269.00 Max. :322.00 Max. :5481
##
## Female: Under 5 years Female: 5-9 years Female: 10-14 years
## Min. : 0.0 Min. : 0.0 Min. : 0.0
## 1st Qu.: 84.0 1st Qu.: 90.0 1st Qu.: 93.0
## Median :136.0 Median :140.0 Median :149.0
## Mean :151.4 Mean :151.6 Mean :156.4
## 3rd Qu.:202.0 3rd Qu.:198.0 3rd Qu.:210.0
## Max. :536.0 Max. :669.0 Max. :480.0
##
## Female: 15-17 years Female: 18-19 years Female: 20 years Female: 21 years
## Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 51.00 1st Qu.: 23.00 1st Qu.: 0.00 1st Qu.: 3.00
## Median : 85.00 Median : 44.00 Median : 18.50 Median : 20.50
## Mean : 94.43 Mean : 50.86 Mean : 26.25 Mean : 28.64
## 3rd Qu.:126.25 3rd Qu.: 70.00 3rd Qu.: 41.00 3rd Qu.: 43.00
## Max. :527.00 Max. :285.00 Max. :193.00 Max. :210.00
##
## Female: 22-24 years Female: 25-29 years Female: 30-34 years
## Min. : 0.00 Min. : 0.0 Min. : 0.0
## 1st Qu.: 39.00 1st Qu.: 95.0 1st Qu.:105.0
## Median : 71.00 Median :148.0 Median :160.0
## Mean : 86.95 Mean :166.5 Mean :176.8
## 3rd Qu.:119.25 3rd Qu.:220.0 3rd Qu.:232.0
## Max. :491.00 Max. :716.0 Max. :701.0
##
## Female: 35-39 years Female: 40-44 years Female: 45-49 years
## Min. : 0 Min. : 0.0 Min. : 0.0
## 1st Qu.:108 1st Qu.:108.8 1st Qu.:118.8
## Median :160 Median :160.5 Median :164.0
## Mean :173 Mean :168.5 Mean :174.1
## 3rd Qu.:224 3rd Qu.:218.0 3rd Qu.:220.0
## Max. :645 Max. :529.0 Max. :606.0
##
## Female: 50-54 years Female: 55-59 years Female: 60-61 years
## Min. : 0.0 Min. : 0.0 Min. : 0.00
## 1st Qu.:122.0 1st Qu.:110.0 1st Qu.: 36.00
## Median :171.0 Median :159.0 Median : 58.00
## Mean :178.2 Mean :166.6 Mean : 66.09
## 3rd Qu.:230.0 3rd Qu.:211.0 3rd Qu.: 88.00
## Max. :479.0 Max. :507.0 Max. :327.00
##
## Female: 62-64 years Female: 65-66 years Female: 67-69 years
## Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 50.00 1st Qu.: 23.00 1st Qu.: 34.00
## Median : 78.00 Median : 41.00 Median : 56.00
## Mean : 85.14 Mean : 47.81 Mean : 65.55
## 3rd Qu.:112.00 3rd Qu.: 66.00 3rd Qu.: 88.00
## Max. :443.00 Max. :232.00 Max. :313.00
##
## Female: 70-74 years Female: 75-79 years Female: 80-84 years
## Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 42.00 1st Qu.: 25.00 1st Qu.: 15.00
## Median : 69.00 Median : 46.00 Median : 30.00
## Mean : 77.39 Mean : 53.67 Mean : 39.06
## 3rd Qu.:104.00 3rd Qu.: 73.00 3rd Qu.: 55.00
## Max. :436.00 Max. :335.00 Max. :367.00
##
## Female: 85 years and over Median age Total population Race total
## Min. : 0.00 Min. :26.20 Min. : 0 Min. : 0
## 1st Qu.: 15.00 1st Qu.:35.00 1st Qu.: 3968 1st Qu.: 3968
## Median : 32.00 Median :38.00 Median : 4918 Median : 4918
## Mean : 48.23 Mean :38.88 Mean : 4884 Mean : 4884
## 3rd Qu.: 67.00 3rd Qu.:42.60 3rd Qu.: 5877 3rd Qu.: 5877
## Max. :353.00 Max. :64.40 Max. :11587 Max. :11587
## NA's :24
## White alone Black or African American alone Asian alone
## Min. : 0 Min. : 0.00 Min. : 0.0
## 1st Qu.:2974 1st Qu.: 17.75 1st Qu.: 112.0
## Median :3660 Median : 66.00 Median : 337.0
## Mean :3730 Mean : 138.27 Mean : 499.0
## 3rd Qu.:4574 3rd Qu.: 199.00 3rd Qu.: 752.5
## Max. :7389 Max. :1107.00 Max. :3953.0
##
## Native Hawaiian and Other Pacific Islander alone Some other race alone
## Min. : 0.00 Min. : 0.0
## 1st Qu.: 0.00 1st Qu.: 24.0
## Median : 0.00 Median : 74.0
## Mean : 22.65 Mean : 140.4
## 3rd Qu.: 19.25 3rd Qu.: 185.0
## Max. :532.00 Max. :2302.0
##
## Two or more races Two races including Some other race
## Min. : 0.0 Min. : 0.00
## 1st Qu.: 159.8 1st Qu.: 0.00
## Median : 262.0 Median : 15.00
## Mean : 304.2 Mean : 50.32
## 3rd Qu.: 402.0 3rd Qu.: 61.00
## Max. :1395.0 Max. :801.00
##
## Two races excluding Some other race, and three or more races
## Min. : 0.0
## 1st Qu.: 135.0
## Median : 221.5
## Mean : 253.9
## 3rd Qu.: 338.0
## Max. :1316.0
##
## Hispanic or Latino Total households Family households Nonfamily households
## Min. : 0.0 Min. : 0 Min. : 0.0 Min. : 0.0
## 1st Qu.: 195.0 1st Qu.:1477 1st Qu.: 974.8 1st Qu.: 744.0
## Median : 372.0 Median :1802 Median :1242.0 Median : 951.5
## Mean : 480.6 Mean :1808 Mean :1239.9 Mean : 967.6
## 3rd Qu.: 638.0 3rd Qu.:2193 3rd Qu.:1498.2 3rd Qu.:1210.0
## Max. :3416.0 Max. :3754 Max. :3166.0 Max. :2540.0
##
## Total families Single-parent families
## Min. : 0.0 Min. : 0.00
## 1st Qu.: 974.8 1st Qu.: 15.00
## Median :1242.0 Median : 37.00
## Mean :1239.9 Mean : 46.07
## 3rd Qu.:1498.2 3rd Qu.: 66.00
## Max. :3166.0 Max. :296.00
##
## Households with people aged 65 and over Households with unmarried partners
## Min. : 0 Min. : 0.00
## 1st Qu.:1497 1st Qu.: 55.75
## Median :1806 Median :115.00
## Mean :1823 Mean :137.81
## 3rd Qu.:2218 3rd Qu.:194.00
## Max. :3754 Max. :674.00
## NA's :676
## Population below poverty level White alone below poverty level
## Min. : 0.0 Min. : 0.0
## 1st Qu.: 195.8 1st Qu.: 133.8
## Median : 336.0 Median : 236.0
## Mean : 422.0 Mean : 290.0
## 3rd Qu.: 538.0 3rd Qu.: 390.2
## Max. :2275.0 Max. :1582.0
##
## Black or African American alone below poverty level
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 18.81
## 3rd Qu.: 14.00
## Max. :445.00
##
## American Indian and Alaska Native alone below poverty level
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 7.827
## 3rd Qu.: 2.000
## Max. :362.000
##
## Asian alone below poverty level
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 11.00
## Mean : 42.33
## 3rd Qu.: 45.00
## Max. :632.00
##
## Native Hawaiian and Other Pacific Islander alone below poverty level
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 2.365
## 3rd Qu.: 0.000
## Max. :247.000
##
## Some other race alone below poverty level
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 24.22
## 3rd Qu.: 14.00
## Max. :751.00
##
## Two or more races below poverty level Hispanic or Latino below poverty level
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 10.00 Median : 19.00
## Mean : 36.43 Mean : 75.24
## 3rd Qu.: 42.00 3rd Qu.: 85.00
## Max. :739.00 Max. :1075.00
##
## Total population by age for poverty status Under 18 years 18 to 64 years
## Min. : 0 Min. : 0.0 Min. : 0.0
## 1st Qu.:3102 1st Qu.: 158.0 1st Qu.: 59.0
## Median :3819 Median : 256.0 Median :110.0
## Mean :3832 Mean : 312.9 Mean :133.7
## 3rd Qu.:4639 3rd Qu.: 406.0 3rd Qu.:175.0
## Max. :8087 Max. :1670.0 Max. :841.0
##
## 65 years and over Total households for income distribution
## Min. : 0.00 Min. : 0
## 1st Qu.: 0.00 1st Qu.:1477
## Median : 0.00 Median :1802
## Mean : 11.94 Mean :1808
## 3rd Qu.: 16.00 3rd Qu.:2193
## Max. :200.00 Max. :3754
##
## Households with income less than $10,000
## Min. : 0.00
## 1st Qu.: 22.00
## Median : 53.00
## Mean : 71.94
## 3rd Qu.: 96.00
## Max. :488.00
##
## Households with income $10,000 to $14,999
## Min. : 0.00
## 1st Qu.: 13.00
## Median : 34.00
## Mean : 48.49
## 3rd Qu.: 65.00
## Max. :365.00
##
## Households with income $15,000 to $19,999
## Min. : 0.00
## 1st Qu.: 13.00
## Median : 35.00
## Mean : 52.12
## 3rd Qu.: 76.00
## Max. :476.00
##
## Households with income $20,000 to $24,999
## Min. : 0.00
## 1st Qu.: 19.00
## Median : 44.50
## Mean : 58.56
## 3rd Qu.: 80.00
## Max. :459.00
##
## Households with income $25,000 to $29,999
## Min. : 0.00
## 1st Qu.: 18.00
## Median : 41.00
## Mean : 54.71
## 3rd Qu.: 78.00
## Max. :370.00
##
## Households with income $30,000 to $34,999
## Min. : 0.00
## 1st Qu.: 22.00
## Median : 53.00
## Mean : 62.59
## 3rd Qu.: 88.00
## Max. :311.00
##
## Households with income $35,000 to $39,999
## Min. : 0.00
## 1st Qu.: 23.00
## Median : 51.00
## Mean : 62.74
## 3rd Qu.: 90.25
## Max. :308.00
##
## Households with income $40,000 to $44,999
## Min. : 0.00
## 1st Qu.: 26.75
## Median : 54.00
## Mean : 66.58
## 3rd Qu.: 92.00
## Max. :354.00
##
## Households with income $45,000 to $49,999
## Min. : 0.00
## 1st Qu.: 27.00
## Median : 53.00
## Mean : 61.47
## 3rd Qu.: 86.25
## Max. :267.00
##
## Households with income $50,000 to $59,999
## Min. : 0.0
## 1st Qu.: 74.0
## Median :121.0
## Mean :131.1
## 3rd Qu.:179.0
## Max. :534.0
##
## Households with income $60,000 to $74,999
## Min. : 0.0
## 1st Qu.:120.0
## Median :177.0
## Mean :186.7
## 3rd Qu.:246.2
## Max. :652.0
##
## Households with income $75,000 to $99,999
## Min. : 0.0
## 1st Qu.:181.0
## Median :262.5
## Mean :272.7
## 3rd Qu.:351.0
## Max. :736.0
##
## Households with income $100,000 to $124,999
## Min. : 0.0
## 1st Qu.:139.0
## Median :204.0
## Mean :214.4
## 3rd Qu.:279.0
## Max. :741.0
##
## Households with income $125,000 to $149,999
## Min. : 0.0
## 1st Qu.: 85.0
## Median :137.0
## Mean :148.7
## 3rd Qu.:196.0
## Max. :647.0
##
## Households with income $150,000 to 199,999
## Min. : 0.00
## 1st Qu.: 78.75
## Median :148.00
## Mean :165.52
## 3rd Qu.:233.00
## Max. :997.00
##
## Households with income $200,000 or more Total households: White alone
## Min. : 0.0 Min. : 0
## 1st Qu.: 42.0 1st Qu.:1176
## Median : 102.0 Median :1499
## Mean : 149.6 Mean :1475
## 3rd Qu.: 206.2 3rd Qu.:1770
## Max. :1192.0 Max. :3496
##
## White alone households with income less than $10,000
## Min. : 0.00
## 1st Qu.: 16.00
## Median : 40.00
## Mean : 54.56
## 3rd Qu.: 73.00
## Max. :398.00
##
## White alone households with income $10,000 to $14,999
## Min. : 0.00
## 1st Qu.: 9.00
## Median : 28.00
## Mean : 39.58
## 3rd Qu.: 56.00
## Max. :319.00
##
## White alone households with income $15,000 to $19,999
## Min. : 0.00
## 1st Qu.: 9.00
## Median : 28.00
## Mean : 42.23
## 3rd Qu.: 62.00
## Max. :392.00
##
## White alone households with income $20,000 to $24,999
## Min. : 0.00
## 1st Qu.: 14.00
## Median : 36.00
## Mean : 47.53
## 3rd Qu.: 68.00
## Max. :346.00
##
## White alone households with income $25,000 to $29,999
## Min. : 0.00
## 1st Qu.: 14.00
## Median : 34.00
## Mean : 45.79
## 3rd Qu.: 66.00
## Max. :275.00
##
## White alone households with income $30,000 to $34,999
## Min. : 0.00
## 1st Qu.: 18.00
## Median : 43.00
## Mean : 51.63
## 3rd Qu.: 74.00
## Max. :279.00
##
## White alone households with income $35,000 to $39,999
## Min. : 0.00
## 1st Qu.: 18.00
## Median : 42.00
## Mean : 51.36
## 3rd Qu.: 75.00
## Max. :284.00
##
## White alone households with income $40,000 to $44,999
## Min. : 0.00
## 1st Qu.: 21.00
## Median : 44.00
## Mean : 54.19
## 3rd Qu.: 76.00
## Max. :280.00
##
## White alone households with income $45,000 to $49,999
## Min. : 0.00
## 1st Qu.: 21.75
## Median : 44.00
## Mean : 51.19
## 3rd Qu.: 73.00
## Max. :223.00
##
## White alone households with income $50,000 to $59,999
## Min. : 0.0
## 1st Qu.: 60.0
## Median :100.0
## Mean :106.7
## 3rd Qu.:146.0
## Max. :403.0
##
## White alone households with income $60,000 to $74,999
## Min. : 0.0
## 1st Qu.: 97.0
## Median :145.0
## Mean :151.3
## 3rd Qu.:197.0
## Max. :462.0
##
## White alone households with income $75,000 to $99,999
## Min. : 0.0
## 1st Qu.:146.0
## Median :218.0
## Mean :226.0
## 3rd Qu.:292.2
## Max. :690.0
##
## White alone households with income $100,000 to $124,999
## Min. : 0.0
## 1st Qu.:113.0
## Median :168.5
## Mean :177.3
## 3rd Qu.:233.0
## Max. :575.0
##
## White alone households with income $125,000 to $149,999
## Min. : 0.0
## 1st Qu.: 69.0
## Median :113.0
## Mean :120.8
## 3rd Qu.:162.0
## Max. :444.0
##
## White alone households with income $150,000 to $199,999 over
## Min. : 0.0
## 1st Qu.: 63.0
## Median :122.0
## Mean :135.0
## 3rd Qu.:190.2
## Max. :560.0
##
## White alone households with income $200,000 or more
## Min. : 0.0
## 1st Qu.: 34.0
## Median : 84.0
## Mean :119.8
## 3rd Qu.:171.5
## Max. :731.0
##
## Total households: Black or African American alone
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 21.00
## Mean : 49.06
## 3rd Qu.: 67.00
## Max. :444.00
##
## Black or African American alone households with income less than $10,000
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 2.628
## 3rd Qu.: 0.000
## Max. :101.000
##
## Black or African American alone households with income $10,000 to $14,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.687
## 3rd Qu.: 0.000
## Max. :94.000
##
## Black or African American alone households with income $15,000 to $19,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 2.222
## 3rd Qu.: 0.000
## Max. :121.000
##
## Black or African American alone households with income $20,000 to $24,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 1.78
## 3rd Qu.: 0.00
## Max. :126.00
##
## Black or African American alone households with income $25,000 to $29,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.746
## 3rd Qu.: 0.000
## Max. :108.000
##
## Black or African American alone households with income $30,000 to $34,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.925
## 3rd Qu.: 0.000
## Max. :99.000
##
## Black or African American alone households with income $35,000 to $39,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.955
## 3rd Qu.: 0.000
## Max. :107.000
##
## Black or African American alone households with income $40,000 to $44,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 2.359
## 3rd Qu.: 0.000
## Max. :103.000
##
## Black or African American alone households with income $45,000 to $49,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.525
## 3rd Qu.: 0.000
## Max. :67.000
##
## Black or African American alone households with income $50,000 to $59,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.594
## 3rd Qu.: 0.000
## Max. :259.000
##
## Black or African American alone households with income $60,000 to $74,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 6.557
## 3rd Qu.: 0.000
## Max. :287.000
##
## Black or African American alone households with income $75,000 to $99,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 6.831
## 3rd Qu.: 7.000
## Max. :249.000
##
## Black or African American alone households with income $100,000 to $124,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 5.614
## 3rd Qu.: 0.000
## Max. :107.000
##
## Black or African American alone households with income $125,000 to $149,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 2.796
## 3rd Qu.: 0.000
## Max. :81.000
##
## Black or African American alone households with income $150,000 to $199,999 over
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 2.759
## 3rd Qu.: 0.000
## Max. :85.000
##
## Black or African American alone households with income $200,000 or more
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 2.087
## 3rd Qu.: 0.000
## Max. :101.000
##
## Total households: American Indian and Alaska Native alone
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 7.00
## Mean : 17.35
## 3rd Qu.: 21.25
## Max. :419.00
##
## American Indian and Alaska Native alone households with income less than $10,000
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.222
## 3rd Qu.: 0.000
## Max. :64.000
##
## American Indian and Alaska Native alone households with income $10,000 to $14,999
## Min. : 0.0000
## 1st Qu.: 0.0000
## Median : 0.0000
## Mean : 0.8211
## 3rd Qu.: 0.0000
## Max. :44.0000
##
## American Indian and Alaska Native alone households with income $15,000 to $19,999
## Min. : 0.0000
## 1st Qu.: 0.0000
## Median : 0.0000
## Mean : 0.6858
## 3rd Qu.: 0.0000
## Max. :64.0000
##
## American Indian and Alaska Native alone households with income $20,000 to $24,999
## Min. : 0.0000
## 1st Qu.: 0.0000
## Median : 0.0000
## Mean : 0.7771
## 3rd Qu.: 0.0000
## Max. :41.0000
##
## American Indian and Alaska Native alone households with income $25,000 to $29,999
## Min. : 0.0000
## 1st Qu.: 0.0000
## Median : 0.0000
## Mean : 0.4655
## 3rd Qu.: 0.0000
## Max. :51.0000
##
## American Indian and Alaska Native alone households with income $30,000 to $34,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 0.604
## 3rd Qu.: 0.000
## Max. :50.000
##
## American Indian and Alaska Native alone households with income $35,000 to $39,999
## Min. : 0.0000
## 1st Qu.: 0.0000
## Median : 0.0000
## Mean : 0.8562
## 3rd Qu.: 0.0000
## Max. :63.0000
##
## American Indian and Alaska Native alone households with income $40,000 to $44,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 0.741
## 3rd Qu.: 0.000
## Max. :59.000
##
## American Indian and Alaska Native alone households with income $45,000 to $49,999
## Min. : 0.0000
## 1st Qu.: 0.0000
## Median : 0.0000
## Mean : 0.4745
## 3rd Qu.: 0.0000
## Max. :49.0000
##
## American Indian and Alaska Native alone households with income $50,000 to $59,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.327
## 3rd Qu.: 0.000
## Max. :58.000
##
## American Indian and Alaska Native alone households with income $60,000 to $74,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.804
## 3rd Qu.: 0.000
## Max. :118.000
##
## American Indian and Alaska Native alone households with income $75,000 to $99,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 2.617
## 3rd Qu.: 0.000
## Max. :82.000
##
## American Indian and Alaska Native alone households with income $100,000 to $124,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.576
## 3rd Qu.: 0.000
## Max. :80.000
##
## American Indian and Alaska Native alone households with income $125,000 to $149,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.201
## 3rd Qu.: 0.000
## Max. :98.000
##
## American Indian and Alaska Native alone households with income $150,000 to $199,999 over
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 1.246
## 3rd Qu.: 0.000
## Max. :74.000
##
## American Indian and Alaska Native alone households with income $200,000 or more
## Min. : 0.0000
## 1st Qu.: 0.0000
## Median : 0.0000
## Mean : 0.9289
## 3rd Qu.: 0.0000
## Max. :60.0000
##
## Total households: Asian alone
## Min. : 0.0
## 1st Qu.: 30.0
## Median : 105.0
## Mean : 157.3
## 3rd Qu.: 236.2
## Max. :1104.0
##
## Asian alone households with income less than $10,000
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 8.024
## 3rd Qu.: 9.000
## Max. :183.000
##
## Asian alone households with income $10,000 to $14,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 3.109
## 3rd Qu.: 0.000
## Max. :245.000
##
## Asian alone households with income $15,000 to $19,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.294
## 3rd Qu.: 0.000
## Max. :240.000
##
## Asian alone households with income $20,000 to $24,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.458
## 3rd Qu.: 0.000
## Max. :151.000
##
## Asian alone households with income $25,000 to $29,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 3.058
## 3rd Qu.: 0.000
## Max. :74.000
##
## Asian alone households with income $30,000 to $34,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.088
## 3rd Qu.: 0.000
## Max. :134.000
##
## Asian alone households with income $35,000 to $39,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.503
## 3rd Qu.: 0.000
## Max. :116.000
##
## Asian alone households with income $40,000 to $44,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.403
## 3rd Qu.: 0.000
## Max. :112.000
##
## Asian alone households with income $45,000 to $49,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.014
## 3rd Qu.: 0.000
## Max. :85.000
##
## Asian alone households with income $50,000 to $59,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 9.299
## 3rd Qu.: 14.000
## Max. :260.000
##
## Asian alone households with income $60,000 to $74,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 13.95
## 3rd Qu.: 19.00
## Max. :261.00
##
## Asian alone households with income $75,000 to $99,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 10.00
## Mean : 21.15
## 3rd Qu.: 32.00
## Max. :188.00
##
## Asian alone households with income $100,000 to $124,999
## Min. : 0.0
## 1st Qu.: 0.0
## Median : 9.0
## Mean : 18.4
## 3rd Qu.: 26.0
## Max. :310.0
##
## Asian alone households with income $125,000 to $149,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 3.50
## Mean : 16.14
## 3rd Qu.: 22.00
## Max. :201.00
##
## Asian alone households with incomee $150,000 to $199,999 over
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 18.47
## 3rd Qu.: 23.00
## Max. :472.00
##
## Asian alone households with income $200,000 or more
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 19.92
## 3rd Qu.: 21.00
## Max. :508.00
##
## Total households: Hispanic or Latino
## Min. : 0.0
## 1st Qu.: 48.0
## Median : 94.0
## Mean :120.6
## 3rd Qu.:161.0
## Max. :772.0
##
## Hispanic or Latino households with income less than $10,000
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.781
## 3rd Qu.: 0.000
## Max. :106.000
##
## Hispanic or Latino households with income $10,000 to $14,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 3.551
## 3rd Qu.: 0.000
## Max. :97.000
##
## Hispanic or Latino households with income $15,000 to $19,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 3.701
## 3rd Qu.: 0.000
## Max. :146.000
##
## Hispanic or Latino households with income $20,000 to $24,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.718
## 3rd Qu.: 0.000
## Max. :170.000
##
## Hispanic or Latino households with income $25,000 to $29,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 4.969
## 3rd Qu.: 0.000
## Max. :107.000
##
## Hispanic or Latino households with income $30,000 to $34,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 6.646
## 3rd Qu.: 0.000
## Max. :127.000
##
## Hispanic or Latino households with income $35,000 to $39,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 6.349
## 3rd Qu.: 0.000
## Max. :115.000
##
## Hispanic or Latino households with income $40,000 to $44,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 6.275
## 3rd Qu.: 0.000
## Max. :164.000
##
## Hispanic or Latino households with income $45,000 to $49,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 5.137
## 3rd Qu.: 0.000
## Max. :169.000
##
## Hispanic or Latino households with income $50,000 to $59,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 11.67
## 3rd Qu.: 16.00
## Max. :313.00
##
## Hispanic or Latino households with income $60,000 to $74,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 13.77
## 3rd Qu.: 18.00
## Max. :297.00
##
## Hispanic or Latino households with income $75,000 to $99,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 8.00
## Mean : 16.03
## 3rd Qu.: 24.00
## Max. :211.00
##
## Hispanic or Latino households with income $100,000 to $124,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 11.93
## 3rd Qu.: 17.00
## Max. :189.00
##
## Hispanic or Latino households with income $125,000 to $149,999
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 6.92
## 3rd Qu.: 10.00
## Max. :127.00
##
## Hispanic or Latino households with income $150,000 to $199,999
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 7.656
## 3rd Qu.: 12.000
## Max. :175.000
##
## Hispanic or Latino households with income $200,000 or more
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 6.468
## 3rd Qu.: 7.000
## Max. :189.000
##
## Median household income Median household income White alone household
## Min. : 22757 Min. : 20238
## 1st Qu.: 63393 1st Qu.: 63522
## Median : 81518 Median : 81881
## Mean : 84911 Mean : 84675
## 3rd Qu.:101520 3rd Qu.:101571
## Max. :230238 Max. :214338
## NA's :24 NA's :24
## Median household income Black or African American alone households
## Min. : 2499
## 1st Qu.: 44545
## Median : 68393
## Mean : 78719
## 3rd Qu.:103258
## Max. :250001
## NA's :1323
## Median household income American Indian and Alaska Native alone households
## Min. : 2499
## 1st Qu.: 41136
## Median : 64792
## Mean : 70507
## 3rd Qu.: 88583
## Max. :250001
## NA's :1670
## Median household income Asian alone households
## Min. : 9203
## 1st Qu.: 66818
## Median : 92430
## Mean :100356
## 3rd Qu.:126483
## Max. :250001
## NA's :604
## Median household incom Hispanic or Latino households
## Min. : 2499
## 1st Qu.: 50050
## Median : 71111
## Mean : 80257
## 3rd Qu.:100695
## Max. :250001
## NA's :573
## Upper Limit Lowest Quintile Upper Limit Second Quintile
## Min. : 8860 Min. : 18142
## 1st Qu.: 29866 1st Qu.: 51916
## Median : 40842 Median : 67748
## Mean : 42989 Mean : 70769
## 3rd Qu.: 54382 3rd Qu.: 86741
## Max. :148000 Max. :208302
## NA's :24 NA's :24
## Upper Limit Third Quintile Upper Limit Fourth Quintile
## Min. : 32365 Min. : 46327
## 1st Qu.: 76894 1st Qu.:109945
## Median : 96216 Median :135352
## Mean :100354 Mean :141284
## 3rd Qu.:119678 3rd Qu.:167192
## Max. :243704 Max. :250001
## NA's :24 NA's :24
## Lower Limit of Top 5 Percent Mean Lowest Quintile Mean Second Quintile
## Min. : 84065 Min. : 4504 Min. : 13782
## 1st Qu.:170615 1st Qu.:16552 1st Qu.: 40771
## Median :208043 Median :23702 Median : 54466
## Mean :203681 Mean :25301 Mean : 56897
## 3rd Qu.:250001 3rd Qu.:32573 3rd Qu.: 70675
## Max. :250001 Max. :92897 Max. :184418
## NA's :24 NA's :46 NA's :46
## Mean Third Quintile Mean Fourth Quintile Mean Highest Quintile
## Min. : 24272 Min. : 38542 Min. : 72719
## 1st Qu.: 64070 1st Qu.: 92567 1st Qu.: 158621
## Median : 81476 Median :114272 Median : 195076
## Mean : 84986 Mean :119235 Mean : 211198
## 3rd Qu.:101992 3rd Qu.:140491 3rd Qu.: 250125
## Max. :226183 Max. :326132 Max. :1033335
## NA's :46 NA's :46 NA's :46
## Mean Top 5 Percent Share of Aggregate Income Lowest Quintile
## Min. : 96850 Min. : 1.840
## 1st Qu.: 219750 1st Qu.: 4.043
## Median : 281910 Median : 4.885
## Mean : 322146 Mean : 5.006
## 3rd Qu.: 382796 3rd Qu.: 5.817
## Max. :2051980 Max. :10.310
## NA's :46 NA's :46
## Share of Aggregate Income Second Quintile
## Min. : 5.64
## 1st Qu.:10.23
## Median :11.35
## Mean :11.34
## 3rd Qu.:12.45
## Max. :16.91
## NA's :46
## Share of Aggregate Income Third Quintile
## Min. :11.02
## 1st Qu.:16.27
## Median :17.22
## Mean :17.11
## 3rd Qu.:18.13
## Max. :21.15
## NA's :46
## Share of Aggregate Income Fourth Quintile
## Min. :16.79
## 1st Qu.:23.32
## Median :24.27
## Mean :24.13
## 3rd Qu.:25.01
## Max. :28.88
## NA's :46
## Share of Aggregate Income Highest Quintile
## Min. :31.49
## 1st Qu.:39.33
## Median :42.25
## Mean :42.41
## 3rd Qu.:44.84
## Max. :60.58
## NA's :46
## Share of Aggregate Income Top 5 Percent Gini Index of income inequality
## Min. : 9.52 Min. :0.2038
## 1st Qu.:13.43 1st Qu.:0.3397
## Median :15.21 Median :0.3747
## Mean :16.00 Mean :0.3747
## 3rd Qu.:17.72 3rd Qu.:0.4084
## Max. :38.23 Max. :0.5761
## NA's :46 NA's :24
## Median family income Per capita income Total households by income sources
## Min. : 26170 Min. : 10234 Min. : 0
## 1st Qu.: 73605 1st Qu.: 29478 1st Qu.:3226
## Median : 92230 Median : 35576 Median :3970
## Mean : 95359 Mean : 37433 Mean :3942
## 3rd Qu.:113696 3rd Qu.: 43012 3rd Qu.:4748
## Max. :231964 Max. :131996 Max. :8209
## NA's :24 NA's :24
## Households with income from wages and salaries
## Min. : 0
## 1st Qu.:1565
## Median :1965
## Mean :1969
## 3rd Qu.:2384
## Max. :4161
##
## Households with income from self-employment
## Min. : 0
## 1st Qu.: 812
## Median :1050
## Mean :1058
## 3rd Qu.:1300
## Max. :2816
##
## Households with income from Social Security
## Min. :0
## 1st Qu.:0
## Median :0
## Mean :0
## 3rd Qu.:0
## Max. :0
##
## Households with income from public assistance
## Min. : 0
## 1st Qu.: 812
## Median :1050
## Mean :1058
## 3rd Qu.:1300
## Max. :2816
##
## Households with income from retirement income
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 0.00
## Mean : 2.02
## 3rd Qu.: 0.00
## Max. :211.00
##
## Households with income from interest, dividends, and net rental income
## Min. : 0.0000
## 1st Qu.: 0.0000
## Median : 0.0000
## Mean : 0.9087
## 3rd Qu.: 0.0000
## Max. :103.0000
##
## Households with income from other sources
## Min. : 0.000
## 1st Qu.: 0.000
## Median : 0.000
## Mean : 3.002
## 3rd Qu.: 0.000
## Max. :79.000
##
## Civilian population 18 years and over Veteran Nonveteran
## Min. : 0 Min. : 0.0 Min. : 0
## 1st Qu.:3019 1st Qu.:238.0 1st Qu.:2712
## Median :3722 Median :327.0 Median :3390
## Mean :3725 Mean :341.5 Mean :3384
## 3rd Qu.:4514 3rd Qu.:433.2 3rd Qu.:4095
## Max. :7828 Max. :960.0 Max. :7345
##
## Total population by sex and veteran status Male Veterans Female Veterans
## Min. : 0.0 Min. : 0.00 Min. : 0.00
## 1st Qu.:238.0 1st Qu.: 9.00 1st Qu.: 0.00
## Median :327.0 Median : 25.00 Median : 15.00
## Mean :341.5 Mean : 37.20 Mean : 22.58
## 3rd Qu.:433.2 3rd Qu.: 49.25 3rd Qu.: 33.00
## Max. :960.0 Max. :355.00 Max. :196.00
##
## Male Nonveterans Female Nonveterans Total veterans population
## Min. : 0.0000 Min. : 0.00 Min. : 0
## 1st Qu.: 0.0000 1st Qu.: 20.00 1st Qu.:2699
## Median : 0.0000 Median : 39.00 Median :3324
## Mean : 0.5016 Mean : 46.36 Mean :3330
## 3rd Qu.: 0.0000 3rd Qu.: 65.00 3rd Qu.:4032
## Max. :55.0000 Max. :269.00 Max. :6956
##
## Veterans with active duty status Veterans with retired status
## Min. : 0.0 Min. : 0.00
## 1st Qu.:235.0 1st Qu.: 0.00
## Median :324.0 Median : 9.00
## Mean :336.6 Mean : 14.62
## 3rd Qu.:424.0 3rd Qu.: 23.00
## Max. :960.0 Max. :168.00
##
## Veterans with discharged status Veterans with other status
## Min. : 0.00 Min. : 0.0
## 1st Qu.: 41.00 1st Qu.: 91.0
## Median : 71.00 Median :138.5
## Mean : 79.75 Mean :149.8
## 3rd Qu.:109.00 3rd Qu.:198.0
## Max. :375.00 Max. :469.0
##
## Veterans by age group Veterans under 35 years Veterans 35-54 years
## Min. : 5607 Min. : 11071 Min. : 8750
## 1st Qu.: 32740 1st Qu.: 41145 1st Qu.: 42022
## Median : 40125 Median : 51094 Median : 52456
## Mean : 40907 Mean : 53833 Mean : 54928
## 3rd Qu.: 47083 3rd Qu.: 62970 3rd Qu.: 64387
## Max. :123071 Max. :167917 Max. :167917
## NA's :55 NA's :128 NA's :146
## Veterans 55 years and over Veterans by education level
## Min. : 2499 Min. : 0
## 1st Qu.: 23750 1st Qu.:2489
## Median : 38750 Median :3148
## Mean : 45196 Mean :3129
## 3rd Qu.: 60297 3rd Qu.:3767
## Max. :250001 Max. :6872
## NA's :1345
## Veterans without high school diploma Veterans with high school diploma
## Min. : 0.0 Min. : 0.00
## 1st Qu.: 747.8 1st Qu.: 5.00
## Median :1034.5 Median : 20.00
## Mean :1089.4 Mean : 31.86
## 3rd Qu.:1374.0 3rd Qu.: 44.00
## Max. :3342.0 Max. :287.00
##
## Veterans with some college Veterans with bachelor's degree or higher
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 17.00 Median : 15.00
## Mean : 26.01 Mean : 23.82
## 3rd Qu.: 37.00 3rd Qu.: 35.00
## Max. :278.00 Max. :278.00
##
## Total population for class of worker Private wage and salary workers
## Min. : 0 Min. : 0.0
## 1st Qu.:2196 1st Qu.: 93.0
## Median :2785 Median : 164.0
## Mean :2748 Mean : 206.9
## 3rd Qu.:3305 3rd Qu.: 276.0
## Max. :6066 Max. :1159.0
##
## Self-employed workers (incorporated) Self-employed workers (not incorporated)
## Min. : 0.0 Min. : 0.00
## 1st Qu.: 112.0 1st Qu.: 0.00
## Median : 182.0 Median : 94.00
## Mean : 208.1 Mean : 98.76
## 3rd Qu.: 276.0 3rd Qu.:154.00
## Max. :1062.0 Max. :521.00
##
## Government workers Unpaid family workers Not classified
## Min. : 0.0 Min. : 0.0 Min. : 0.00
## 1st Qu.: 58.0 1st Qu.: 51.0 1st Qu.: 0.00
## Median :107.0 Median : 96.0 Median : 0.00
## Mean :135.6 Mean :121.6 Mean : 14.08
## 3rd Qu.:179.0 3rd Qu.:164.0 3rd Qu.: 19.25
## Max. :818.0 Max. :818.0 Max. :207.00
##
## Total population 16 years and over for employment status
## Min. : 0
## 1st Qu.:3170
## Median :3916
## Mean :3881
## 3rd Qu.:4680
## Max. :8087
##
## Population 16 years and over Civilian labor force Employed
## Min. : 0 Min. : 0 Min. : 0
## 1st Qu.:2115 1st Qu.:2090 1st Qu.:1933
## Median :2690 Median :2649 Median :2470
## Mean :2639 Mean :2615 Mean :2453
## 3rd Qu.:3189 3rd Qu.:3160 3rd Qu.:2960
## Max. :5753 Max. :5753 Max. :5369
##
## Unemployed Not in labor force Total housing units Occupied housing units
## Min. : 0.0 Min. : 0.00 Min. : 0 Min. : 0
## 1st Qu.: 87.0 1st Qu.: 0.00 1st Qu.:1592 1st Qu.:1477
## Median :142.5 Median : 0.00 Median :1915 Median :1802
## Mean :162.0 Mean : 23.85 Mean :1921 Mean :1808
## 3rd Qu.:214.2 3rd Qu.: 20.00 3rd Qu.:2325 3rd Qu.:2193
## Max. :669.0 Max. :1866.00 Max. :3975 Max. :3754
##
## Vacant housing units Vacant units for sale only Median gross rent
## Min. : 0.0 Min. : 0.000 Min. : 633
## 1st Qu.: 48.0 1st Qu.: 0.000 1st Qu.:1138
## Median : 92.5 Median : 0.000 Median :1387
## Mean :112.8 Mean : 6.205 Mean :1457
## 3rd Qu.:151.0 3rd Qu.: 0.000 3rd Qu.:1696
## Max. :690.0 Max. :111.000 Max. :3406
## NA's :58
## Total renter-occupied housing units (rent as % of income)
## Min. : 0.0
## 1st Qu.: 221.0
## Median : 453.0
## Mean : 593.3
## 3rd Qu.: 841.0
## Max. :2264.0
##
## Renters paying 35% or more of income on rent
## Min. : 0.00
## 1st Qu.: 11.00
## Median : 39.00
## Mean : 60.61
## 3rd Qu.: 89.00
## Max. :567.00
##
## Renters paying 40% to 49.9% of income on rent
## Min. : 0.00
## 1st Qu.: 0.00
## Median : 23.00
## Mean : 38.78
## 3rd Qu.: 55.00
## Max. :297.00
##
## Renters paying 50% or more of income on rent
## Min. : 0.00
## 1st Qu.: 10.00
## Median : 35.00
## Mean : 53.21
## 3rd Qu.: 79.25
## Max. :373.00
##
## Median value of owner-occupied units
## Min. : 116000
## 1st Qu.: 278600
## Median : 353200
## Mean : 382159
## 3rd Qu.: 446950
## Max. :1553600
## NA's :24
## Total owner-occupied units with a mortgage (costs as % of income)
## Min. : 0
## 1st Qu.: 896
## Median :1204
## Mean :1215
## 3rd Qu.:1550
## Max. :2704
##
## Owners with mortgage paying 30% to 34.9% of income
## Min. : 0.0
## 1st Qu.: 92.0
## Median :150.0
## Mean :163.4
## 3rd Qu.:224.0
## Max. :539.0
##
## Owners with mortgage paying 35% to 39.9% of income
## Min. : 0.0
## 1st Qu.: 97.0
## Median :154.0
## Mean :163.1
## 3rd Qu.:218.0
## Max. :543.0
##
## Owners with mortgage paying 40% to 49.9% of income
## Min. : 0.0
## 1st Qu.: 74.0
## Median :120.0
## Mean :128.3
## 3rd Qu.:172.0
## Max. :517.0
##
## Owners with mortgage paying 50% or more of income
## Min. : 0.00
## 1st Qu.: 47.00
## Median : 78.00
## Mean : 86.73
## 3rd Qu.:118.00
## Max. :343.00
##
## Total owner-occupied units without a mortgage
## Min. :14.60
## 1st Qu.:20.10
## Median :22.20
## Mean :22.48
## 3rd Qu.:24.50
## Max. :37.40
## NA's :24
## Total housing units with owner costs >50% of income
## Min. : 0
## 1st Qu.:1477
## Median :1802
## Mean :1808
## 3rd Qu.:2193
## Max. :3754
##
## Housing units with owner costs exceeding 50% of income
## Min. : 0.0
## 1st Qu.: 8.0
## Median : 22.0
## Mean : 28.8
## 3rd Qu.: 40.0
## Max. :315.0
##
## Population 25 years and over High school graduate Bachelor's degree
## Min. : 0 Min. : 0.0 Min. : 0.0
## 1st Qu.:2480 1st Qu.: 415.0 1st Qu.: 230.0
## Median :3268 Median : 628.0 Median : 339.0
## Mean :3096 Mean : 616.4 Mean : 329.3
## 3rd Qu.:4023 3rd Qu.: 816.0 3rd Qu.: 440.0
## Max. :6956 Max. :1582.0 Max. :1008.0
##
## Master's degree Professional school degree Doctorate degree Total employed
## Min. : 0.0 Min. : 0.0 Min. : 0.0 Min. : 0.0
## 1st Qu.: 395.0 1st Qu.: 105.8 1st Qu.: 12.0 1st Qu.: 632.2
## Median : 622.0 Median : 187.0 Median : 34.0 Median :3493.5
## Mean : 669.6 Mean : 232.4 Mean : 44.7 Mean :2986.1
## 3rd Qu.: 909.0 3rd Qu.: 310.2 3rd Qu.: 65.0 3rd Qu.:4518.0
## Max. :2661.0 Max. :1326.0 Max. :368.0 Max. :8087.0
##
## Employed full-time, year-round Employed part-time, year-round
## Min. : 0.0 Min. : 0.00
## 1st Qu.: 9.0 1st Qu.: 0.00
## Median :182.5 Median : 72.00
## Mean :177.9 Mean : 79.22
## 3rd Qu.:274.0 3rd Qu.:123.00
## Max. :699.0 Max. :454.00
##
## Employed part-time, not year-round Employer provided family workers
## Min. : 0.000 Min. : 0.00
## 1st Qu.: 0.000 1st Qu.: 15.75
## Median : 0.000 Median : 216.00
## Mean : 6.817 Mean : 224.84
## 3rd Qu.: 5.000 3rd Qu.: 338.00
## Max. :213.000 Max. :1177.00
## ## # A tibble: 12 × 319
## GEOID Year `Total population Male` `Male: Under 5 years` `Male: 5-9 years`
## <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 53061 2011 352447 23995 23951
## 2 53061 2012 357586 24021 24212
## 3 53061 2013 362890 24128 24715
## 4 53061 2014 368756 24247 24726
## 5 53061 2015 374847 24310 24732
## 6 53061 2016 380430 24696 24746
## 7 53061 2017 387078 25110 25112
## 8 53061 2018 394526 25710 25018
## 9 53061 2019 400594 26114 25040
## 10 53061 2020 406760 26288 25611
## 11 53061 2021 413403 26058 26278
## 12 53061 2022 418342 25889 26372
## # ℹ 314 more variables: `Male: 10-14 years` <dbl>, `Male: 15-17 years` <dbl>,
## # `Male: 18-19 years` <dbl>, `Male: 20 years` <dbl>, `Male: 21 years` <dbl>,
## # `Male: 22-24 years` <dbl>, `Male: 25-29 years` <dbl>,
## # `Male: 30-34 years` <dbl>, `Male: 35-39 years` <dbl>,
## # `Male: 40-44 years` <dbl>, `Male: 45-49 years` <dbl>,
## # `Male: 50-54 years` <dbl>, `Male: 55-59 years` <dbl>,
## # `Male: 60-61 years` <dbl>, `Male: 62-64 years` <dbl>, …This code represents the computation of various percentages and ratios that help provide a deeper analysis of housing and demographic trends in Snohomish County. Using a dataset called snohomish_data, the mutate() function from the dplyr package is used to create new variables based on existing columns. These new variables express key socioeconomic metrics as percentages or ratios, including the percentage of cost-burdened renters and owners, vacant housing rates, family versus nonfamily households, and the population distribution by age. Additionally, economic indicators such as the median income-to-rent and income-to-home-value ratios are computed to evaluate housing affordability.
From a statistical standpoint, this familiarizes the dataset with ratios and percentages, converting raw counts into interpretable insights for further analysis. By standardizing the data in percentages, the code facilitates comparison between different categories (e.g., renters and owners) and their relative burdens or contributions to overall housing trends. The use of these statistical transformations helps in understanding the dynamics of housing markets, affordability, and demographic composition in a more granular and meaningful way, supporting both descriptive and inferential analysis.
What each computation of percentages and ratios mean: 1. Total Owner-Occupied Units: This ratio combines all owner-occupied housing units, both with and without mortgages, to provide a comprehensive measure of the total owner-occupied housing stock. It helps understand the full extent of homeownership in an area, including both mortgage and non-mortgage homes.
Percent Renters Cost Burdened: This percentage calculates the proportion of renter households that spend 35% or more of their income on rent. It indicates housing affordability and the financial pressure faced by renters, signaling possible housing affordability issues.
Percent Owners Cost Burdened: This percentage calculates the proportion of owner households spending 30% or more of their income on housing costs (mortgage). It shows how many homeowners are at risk of financial strain due to high housing costs, indicating potential housing stress.
Percent Vacant Housing: This ratio measures the proportion of housing units that are vacant in relation to total housing units. It provides insight into housing availability or potential issues with under-utilized housing stock.
Percent Family Households: This percentage calculates the ratio of family households compared to the total number of households. It shows the dominance of family-based living arrangements in the area, useful for understanding community demographics.
Percent Nonfamily Households: This ratio measures the proportion of nonfamily households out of total households. It reflects the prevalence of single-person or unrelated individuals sharing housing, offering insights into housing needs and lifestyle trends.
Percent Households with People 65 and Over: This ratio calculates the percentage of households that include individuals aged 65 or older. It signals the aging population and potential demand for senior services and age-friendly infrastructure.
Median Income to Gross Rent Ratio: This ratio compares the median household income to the median gross rent. It highlights housing affordability by comparing typical incomes to typical rental costs, showing how accessible housing is in terms of rent.
Median Income to Home Value Ratio: This ratio compares the median household income to the median value of owner-occupied homes. It assesses housing affordability for homeowners, indicating whether median incomes are sufficient to afford homes in the area.
Renters to Owners Ratio: This ratio compares the number of renter-occupied housing units to owner-occupied units. It shows the balance between renting and owning, revealing the dominant housing market structure (renting vs. owning).
Renters to Total Population: This percentage calculates the proportion of renters compared to the total population. It highlights the extent to which renting is prevalent in the community, often linked to housing affordability and mobility.
Owners to Total Population: This percentage measures the proportion of homeowners out of the total population. It indicates homeownership levels, which can be a sign of long-term community stability and investment.
Family Households to Nonfamily Households Ratio: This ratio compares the number of family households to nonfamily households. It provides insight into household composition trends and whether families or nonfamily arrangements dominate the housing landscape.
Vacant Housing to Occupied Housing Ratio: This percentage calculates the proportion of vacant housing units relative to occupied units. It helps identify housing supply and demand issues, or whether there are significant vacancies that may affect the market.
Population 65 and Over to Total Population: This ratio measures the proportion of the population aged 65 and older relative to the total population. It indicates the aging population size and potential needs for senior services and health care resources.
Population Density: This ratio calculates the number of people per housing unit. It reflects how densely populated an area is, informing infrastructure, housing, and service needs.
Income to Population Ratio: This ratio compares the median household income to the total population. It shows how income levels compare to population size, which can reveal economic health and quality of life in a region.
Unemployment Rate: This percentage measures the proportion of the civilian labor force that is unemployed. It signals the health of the labor market and can indicate economic challenges if the rate is high.
Labor Force Participation Rate: This ratio measures the proportion of the population aged 16 and over that is part of the civilian labor force. It indicates the degree of labor force engagement and economic activity in the community.
Percent Veterans: This percentage calculates the ratio of veterans relative to the civilian population aged 18 and over. It reflects the presence of veterans in the community, which can influence service needs and employment programs.
Percent Population Below Poverty Level: This percentage measures the proportion of the population living below the poverty line. It highlights economic disparity and helps identify areas requiring economic development and social assistance programs.
Percent High School Graduates: This percentage calculates the ratio of individuals with a high school diploma relative to the population aged 25 and over. It reflects educational attainment levels and can be linked to employment opportunities and economic growth.
Percent Bachelor’s Degree or Higher: This ratio calculates the proportion of individuals with a bachelor’s degree or higher out of the population aged 25 and over. It indicates the educational level in the community and can correlate with economic opportunities and innovation capacity.
Percent Employed Full-Time: This ratio measures the percentage of individuals employed full-time out of the total employed population. It reflects the job stability and employment structure in the community.
Percent Households with Wages and Salaries: This percentage measures the proportion of households receiving income from wages and salaries. It provides insight into income sources, revealing reliance on traditional employment income.
Percent Households with Social Security: This percentage measures the proportion of households receiving Social Security income. It signals the prevalence of retirees or disabled individuals relying on this benefit for household income.
Percent Households with Public Assistance: This percentage calculates the proportion of households receiving income from public assistance programs. It indicates economic vulnerability and dependence on government support programs.
Dependency Ratio: This ratio compares the population of dependents (under 18 and over 65) to the working-age population (18 to 64). It reflects the burden on the working-age population to support dependents, informing economic and social policy needs.
Percent Self-Employed: This percentage measures the proportion of self-employed individuals out of the total workforce. It highlights entrepreneurial activity and reliance on independent businesses in the local economy.
Percent Government Workers: This ratio calculates the percentage of individuals employed by the government relative to the total workforce. It indicates the importance of public sector employment within the region’s labor market.
Percent Private Wage and Salary Workers: This percentage measures the proportion of workers employed in the private sector relative to the total workforce. It shows the reliance on private sector employment and can influence regional economic development strategies.
Homeownership Rate: This percentage calculates the proportion of households that are owner-occupied relative to total occupied housing units. It provides insight into housing stability and community investment, as homeownership is often tied to long-term residency.
Percent Households with Unmarried Partners: This ratio measures the percentage of households with unmarried partners out of the total number of households. It reflects household composition diversity and can inform social policies and community services.
Year: This variable represents the time from 2011 to 2022, providing a longitudinal view of population growth in Snohomish County over more than a decade.
Total Population: The population count for each year, depicted on the y-axis, showing the trend of an increasing population. In 2011, the population was slightly above 700,000 and grew steadily to exceed 800,000 by 2022.
The growth in population often leads to increased demand for resources, housing, and social services, creating potential strains on infrastructure, housing affordability, and public services. Vulnerable populations, such as low-income families, may face the burden of increased competition for affordable housing, higher costs of living, and limited access to essential services, exacerbating economic pressures and widening inequality. Businesses, particularly small to medium-sized ones, may face a more competitive labor market, increasing wages and operational costs.
Housing Demand and Affordability: The consistent population growth suggests an increasing demand for housing, likely driving up rental and property prices. This is particularly challenging for low-income and vulnerable populations who may struggle to afford housing in a competitive market, leading to potential displacement or increased dependency on government assistance.
Service Demand: Population growth typically increases the demand for public services, including healthcare, education, and transportation. Without adequate investment in infrastructure, service quality may decline, impacting vulnerable populations the hardest.
Employment and Economic Opportunities: An expanding population can stimulate local economies by creating new business opportunities. However, without balanced job growth that includes positions accessible to lower-income residents, competition for jobs could increase, leaving some unable to secure stable employment.
Affordable Housing Initiatives: Encourage partnerships with private sector developers to increase affordable housing supply through incentives such as reduced permitting fees, faster approval processes, or grants.
Public-Private Partnerships in Infrastructure: To meet the increased demand for infrastructure and public services without excessive government spending, public-private partnerships could help fund and maintain necessary projects.
Workforce Development Programs: Expand workforce development and training programs targeted at in-demand skills to ensure that vulnerable populations can access jobs that arise from economic growth.
How effectively is the county addressing housing affordability as population growth increases, and what measurable outcomes indicate success in reducing housing costs for low-income families?
What investments have been made in essential services to keep up with the increased demand, and how are we measuring the impact of these services on vulnerable populations?
Are there specific economic opportunities being created for vulnerable populations, and how are we tracking improvements in employment rates among these groups?
Affordable Housing Availability: Measure the percentage of housing units classified as affordable relative to median income in Snohomish County.
Service Accessibility and Quality: Track wait times, service quality ratings, and access levels for public services, particularly in areas like healthcare and transportation.
Employment Rate Among Vulnerable Populations: Monitor the employment rate specifically for low-income residents to evaluate the effectiveness of economic development and workforce training initiatives in reducing unemployment among vulnerable groups.
The pie chart depicts the racial composition of Snohomish County, with the following breakdown:
This breakdown gives an overview of racial diversity, indicating that Snohomish County is predominantly white, with minority groups represented in smaller proportions.
Race Categories: Each category represents self-reported racial identities of residents within the county. This includes “White alone,” “Asian alone,” “Hispanic or Latino,” and “Black or African American alone,” indicating those who identify solely with that racial category.
Percentage: The percentage values next to each racial category represent the proportion of each racial group within the total population, allowing for an understanding of relative racial representation.
Population Total: While not explicitly displayed, the total population is the baseline for calculating these percentages, providing insight into population structure.
Targeted Community Programs: Develop community support programs that address the unique needs of each minority group, such as job training, language support for Hispanic residents, and educational scholarships for underrepresented groups.
Non-Profit Partnerships: Partner with local non-profits to expand access to essential services without increasing tax burdens. These partnerships can provide healthcare, job training, and educational support specifically tailored for minority communities.
Increased Access to Affordable Housing: Encourage affordable housing projects that prioritize diversity and cater to lower-income residents. This can be achieved by working with developers to include affordable units in new housing projects.
Education & Skill Development Initiatives: Provide grants or subsidies for education and vocational training targeted at minority groups to improve employment opportunities and break cycles of poverty.
By addressing these areas and establishing clear KPIs, Snohomish County can effectively reduce the financial burden on vulnerable populations and build a more equitable community without relying on excessive policy interventions or additional taxes. This approach focuses on empowering communities through resource access and opportunities rather than increasing dependency on government aid.
The chart shows the population growth of different racial groups in Snohomish County from 2011 to 2022. The racial categories included in this analysis are:
This data illustrates trends in racial demographics over time, which can impact county policies, resource allocation, and community support needs.
Targeted Community Programs: Establish community support programs focused on job training, educational support, and healthcare access for growing minority groups, such as Hispanic and Asian communities.
Affordable Housing Initiatives: Work with developers to increase affordable housing availability, particularly for minority groups that are more likely to face housing affordability challenges.
Education and Job Training Programs: Expand educational support and vocational training targeting in-demand skills, particularly for groups facing barriers to stable employment and income growth.
Enhanced Social Services: Strengthen partnerships with local non-profits to provide social services without increasing tax burdens. This approach ensures that minority communities receive support tailored to their specific needs.
By focusing on these areas, Snohomish County can work toward a more equitable and supportive environment for its diverse population without creating additional financial burdens. This approach emphasizes community empowerment, aiming to provide resources that support sustainable, long-term improvement in quality of life across racial groups.
The chart illustrates the age distribution by gender in Snohomish County for 2022, showing the population count across various age groups for males and females. Key observations include:
These trends highlight potential implications for county resource allocation, healthcare needs, and social services, particularly for vulnerable and elderly populations.
Elderly Support Programs: Establish programs specifically for the elderly, targeting the large female population in the 85+ age group. This could include in-home support, assisted living options, and community initiatives to reduce isolation.
Workforce Development Initiatives: Provide training, career support, and family-friendly workplace policies for the 35-54 age group to promote stable employment and career growth for both men and women.
Childcare and Early Education Expansion: Invest in childcare facilities and early education programs to support families with young children, reducing financial burdens on working parents and promoting child development from an early age.
Healthcare Access and Affordability: Enhance healthcare access, particularly for high-demand age groups like elderly females, by partnering with healthcare providers to create affordable options focused on chronic disease management, preventive care, and mental health support.
By implementing these strategies and establishing measurable KPIs, Snohomish County can allocate resources effectively to reduce burdens on vulnerable populations, especially the elderly, young families, and working-age individuals. This approach promotes equitable support services without imposing additional financial strain on residents.
The chart displays the median household income in Snohomish County over a range of years, showing trends in income levels and highlighting economic conditions for residents. Key insights include:
This income trend has significant implications for housing affordability, access to essential services, and financial stability for families in the county, particularly affecting middle- and low-income families who are more susceptible to economic pressures.
Affordable Housing Initiatives: Partner with developers and nonprofits to expand affordable housing options for middle- and low-income families. Programs offering reduced rent or support for first-time homebuyers can help mitigate housing affordability challenges.
Financial Literacy and Savings Programs: Establish community-based financial literacy initiatives to help residents manage income, savings, and expenses more effectively, building financial resilience.
Inflation-Adjusted Income Initiatives: Encourage businesses to implement regular, inflation-adjusted wage increases to align income growth with the cost of living.
Local Economic Development and Job Training: Invest in job training programs that align with growth industries in the area, allowing residents to pursue higher-paying jobs and reduce reliance on aid.
By focusing on these strategies and setting measurable KPIs, Snohomish County can work toward reducing the financial burden on residents, particularly vulnerable families. This approach emphasizes sustainable economic improvement, empowering residents with resources to achieve financial independence without over-reliance on government aid.
The line chart illustrates the trend in median household income in Snohomish County over time. Key insights include:
This trend in median income impacts residents’ ability to afford housing, healthcare, and essentials, particularly affecting vulnerable populations in the county.
Affordable Housing Programs: Partner with developers and nonprofits to expand affordable housing options for middle- and low-income households. Programs like rental assistance or first-time homebuyer support can alleviate housing costs.
Financial Literacy and Resilience: Establish community-based financial literacy programs to help residents better manage expenses, savings, and investments, building resilience and reducing dependence on aid.
Inflation-Adjusted Wage Initiatives: Encourage local employers to implement inflation-adjusted wage increases to ensure residents’ incomes keep pace with the rising cost of living.
Job Training and Economic Development: Invest in job training that aligns with high-demand local industries, helping residents access higher-paying jobs and decreasing reliance on social services.
By implementing these strategies and tracking measurable KPIs, Snohomish County can work to ease financial burdens on residents, particularly for vulnerable groups. This approach emphasizes sustainable economic growth and empowers residents with the resources needed to achieve financial independence.
The chart illustrates the U.S. Consumer Price Index (CPI) trend from 2011 to 2022, revealing a steady increase in CPI values. Key insights include:
These trends impact Snohomish County residents by reducing the real value of household incomes, leading to higher costs of living and creating financial strain, especially for middle- and low-income families.
Income Support Programs: Provide temporary income support for low-income families to offset rising costs of essentials, such as food and utilities, to reduce immediate financial stress.
Financial Literacy and Budgeting Assistance: Offer resources to help residents manage inflationary pressures by building budgeting and financial planning skills, enhancing financial resilience.
Support for Small Businesses: Introduce initiatives that reduce operational costs for local small businesses, such as grants or tax credits, allowing them to manage rising expenses without significantly increasing prices.
Community-Based Assistance Programs: Expand access to food assistance and other essential resources to help vulnerable households manage the impact of rising prices.
By focusing on these strategies and establishing measurable KPIs, Snohomish County can help alleviate the financial burden of inflation on residents, fostering a resilient community and providing support through challenging economic times without increasing dependency.
The chart visualizes the Income Inequality in Snohomish County from 2011 to 2022, using the Gini Index to measure inequality. The Gini Index ranges from 0 to 1:
This chart shows year-over-year changes in the Gini Index, providing insights into trends in income distribution. Higher values indicate increasing income disparity, suggesting a growing gap between high- and low-income residents.
By addressing these areas, Snohomish County can work toward reducing income inequality and supporting economic resilience without increasing the financial burden on its most vulnerable residents.
The chart “Median Household Income Over Time by Race” tracks income trends across different racial groups in Snohomish County from 2011 to 2022. This includes:
These median incomes indicate the midpoint of each group’s income distribution, showing disparities and growth trends that reflect economic conditions, policy impacts, and access to resources for each racial group.
By prioritizing these strategies, Snohomish County can work toward a more equitable economic environment, reducing disparities and supporting all racial groups without relying on increased taxes.
The chart illustrates trends from 2011 to 2022, comparing Median Household Income by race to the Cost of Living Index (COLI) in Snohomish County. The COLI is represented as a dashed line, reflecting the estimated annual cost to maintain a basic standard of living.
Key variables in this chart include:
This comparison allows us to evaluate if income growth across racial groups has kept pace with rising living costs, a critical measure of financial strain on households.
By prioritizing these strategies, Snohomish County can work towards reducing economic strain on vulnerable populations, ensuring more equitable support for all racial groups.
This chart illustrates the Total Number of Households in Snohomish County from 2011 to 2022, with data points indicating annual totals and the percentage change in household numbers year-over-year. The steady increase in households suggests ongoing population growth and increased demand for housing, infrastructure, and community services.
Key variables:
By implementing these strategies, Snohomish County can better manage the implications of household growth, aiming to create a balanced, equitable community that supports both economic growth and quality of life.
The chart “Income Distribution by Race in Snohomish County” displays the number of households within various income ranges segmented by race for the year 2022. This breakdown provides insights into income disparities among racial groups and highlights where vulnerable populations may face economic challenges.
By focusing on these areas, Snohomish County can work toward reducing economic disparities, fostering inclusivity, and building a stronger, more resilient economy that supports all racial groups.
This chart illustrates the poverty rate in Snohomish County from 2011 to 2022, providing insights into the percentage of the population living below the federal poverty level. This measure helps assess the economic hardship faced by residents and offers a view of trends over time, highlighting the fluctuations in poverty rates and the impact of broader economic conditions on vulnerable populations in the county.
The Federal Poverty Guidelines, determined by the Department of Health and Human Services, set the income thresholds that define poverty. In 2024, the poverty guideline for a one-person household in Washington State is $15,060, with each additional household member increasing the threshold by $5,380. However, the cost of living in Washington is notably higher than the national average, making these federal guidelines less reflective of true economic need in areas like Snohomish County, where housing, healthcare, and other essential costs exceed national averages.
By focusing on these areas, Snohomish County can work towards building an inclusive economy that reduces poverty levels and fosters economic stability for its most vulnerable populations.
The chart “Population Below Poverty Level by Race Over Time in Snohomish County” tracks the population below the poverty line for different racial groups from 2011 to 2022. This breakdown by race provides insights into the economic disparities across racial groups, highlighting the relative vulnerabilities within each demographic.
By addressing these areas, Snohomish County can work towards reducing poverty levels and fostering economic stability across all racial groups, creating a more inclusive and supportive environment for its most vulnerable populations.
The chart “Unemployment Rate in Snohomish County” displays the unemployment rate from 2011 to 2022, providing insights into employment trends over time.
By addressing these questions, Snohomish County can work toward a more inclusive and resilient economy, reducing unemployment among vulnerable groups and enhancing overall economic stability.
The chart “Income Distribution by Race in Snohomish County” illustrates the number of households in various income ranges across racial groups, based on data from 2022. This visualization offers insights into income disparities among different racial groups and highlights economic vulnerability in lower-income brackets.
By addressing these questions, Snohomish County can work towards policies that alleviate the economic burden on vulnerable populations, promoting a more inclusive and equitable economic landscape.
The chart “Income Distribution by Race in Snohomish County” illustrates the number of households in various income ranges across racial groups, based on data from 2022. This visualization offers insights into income disparities among different racial groups and highlights economic vulnerability in lower-income brackets.
By addressing these questions, Snohomish County can work towards policies that alleviate the economic burden on vulnerable populations, promoting a more inclusive and equitable economic landscape.
The chart “Housing Cost Burden in Snohomish County (2022)” provides insights into the percentage of income that households spend on housing across different housing types, specifically owners and renters. This metric highlights the financial strain placed on households when they spend more than 30% of their income on housing, a commonly used threshold for housing affordability.
By addressing these questions, Snohomish County can identify gaps in housing support and economic opportunity, working towards a balanced approach to alleviate the financial strain on households facing a high housing cost burden.
The chart “Total Population of Cost-Burdened Renters Over Time” shows the trend in the number of renter households in Snohomish County that are cost-burdened—spending more than 30% of their income on rent. This metric provides a longitudinal view of the financial challenges faced by renters in the county, with a particular focus on housing affordability.
The chart “Rent Burden Distribution Among Renters Over Time (2011-2022)” depicts the number of renter households in Snohomish County experiencing varying levels of rent burden. It highlights the financial strain on renters by showing the trend in households spending 35% or more, 40-49.9%, and 50% or more of their income on rent. This visualization helps in understanding the severity and distribution of rent burdens over time.
By addressing these questions, Snohomish County can better understand the drivers of rent burdens among renters and work towards implementing solutions that provide sustainable relief and economic stability.
The chart “Percentage of Cost-Burdened Homeowners Over Time in Snohomish County” illustrates the percentage of homeowner households who spend more than 30% of their income on housing costs from 2011 to 2022. This metric is critical for understanding housing affordability challenges among homeowners, as spending over 30% of income on housing is often considered a cost burden.
By addressing these questions, Snohomish County can better tailor programs to alleviate cost burdens on homeowners and ensure housing affordability remains a central component of economic stability and well-being.
The chart “Cost Burden Distribution Among Homeowners Over Time (2011-2022)” shows the number of homeowner households that spend different percentages of their income on housing costs in Snohomish County. This breakdown by burden level provides insights into the varying degrees of financial strain homeowners experience based on their income allocation toward housing expenses.
By addressing these questions, Snohomish County can better understand and mitigate the financial challenges homeowners face, promoting housing stability and economic resilience across its communities.
The chart “Percent Vacant Housing Over Time in Snohomish County” illustrates the percentage of vacant housing units from 2011 to 2022. This measure sheds light on housing availability, the economic health of the real estate market, and potential inefficiencies in housing allocation.
By addressing these questions, Snohomish County can gain a clearer understanding of the factors driving housing vacancy and work towards solutions that make housing more accessible and efficiently utilized for its residents.