Household Income in Block Group 950300-2, Skamania County, Washington (Block Group)

Household Income Percentiles#1

Scope: households in Skamania County and Block Group 950300-2
Block Group 950300-2
Skamania County
$0k$10k$20k$30k$40k$50k%Median$45,417.000000$53,082.000000$45,417.000000$45.4k100.000%100%

Relative Household Income Percentiles#2

Selected measures of household income in Block Group 950300-2, as a percentage more or less than Skamania County at large.
Scope: households in Skamania County and Block Group 950300-2
10%5%0%$ref.Median-14.439923%-14.439923%14.4%$45,417.000000$45.4k$53,082.000000$53.1k

Household Income Distribution#3

Normalized with respect to a standard interval of $5k. Gray areas represent percentile bands from the block groups in Skamania County.
Scope: households in Skamania County, Block Group 950300-2, and other block groups in Skamania County
Block Group 950300-2
Skamania County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%2%4%6%8%Count%> $200k1$150-200k2$125-150k2$100-125k2$75-100k2$60-75k2$50-60k2$45-50k$40-45k$35-40k$30-35k$25-30k$20-25k$15-20k$10-15k< $10k281.770%1.77%122.655%2.65%327.080%7.08%235.088%5.09%398.628%8.63%5812.832%12.8%296.416%6.42%275.973%5.97%91.991%1.99%132.876%2.88%337.301%7.30%245.310%5.31%306.637%6.64%204.425%4.42%408.850%8.85%5512.168%12.2%

Median Household Income by Race#4

Scope: households in Skamania County and Block Group 950300-2
Block Group 950300-2
Skamania County
$0k$10k$20k$30k$40k$50k%All1$45,417.000000$53,082.000000$45,417.000000$45.4k100.000000%100%

Household Income by Block Group in Skamania County

There are 10 block groups in Skamania County. This section compares Block Group 950300-2 to all of the block groups in Skamania County and to those entities that contain or substantially overlap with Block Group 950300-2.

Median Household Income by Block Group#5

Scope: households in Block Group 950300-2, selected other block groups in Skamania County, and entities that contain Block Group 950300-2
$0k$20k$40k$60k$80k%#950200-1B.G. 950200-1950200-2B.G. 950200-2PacificWashingtonPortland, Vancouver, and Hillsboro Metro AreaPortland Area950400-2B.G. 950400-2West950200-3B.G. 950200-3United States of AmericaUnited StatesSkamania CountySkamania950100-1B.G. 950100-1ZIP Code 98648ZIP 98648950300-2B.G. 950300-2950300Tract 950300950300-1B.G. 950300-1950500-1B.G. 950500-1950500-2B.G. 950500-2950400-1B.G. 950400-1$81,134.000000$81,134.000000$81.1k+78.642%+78.6%1$67,250.000000$67,250.000000$67.3k+48.072%+48.1%2$62,943.000000$62,943.000000$62.9k+38.589%+38.6%$62,848.000000$62,848.000000$62.8k+38.380%+38.4%$62,772.000000$62,772.000000$62.8k+38.213%+38.2%$60,250.000000$60,250.000000$60.3k+32.660%+32.7%3$60,214.000000$60,214.000000$60.2k+32.580%+32.6%$58,173.000000$58,173.000000$58.2k+28.086%+28.1%4$55,322.000000$55,322.000000$55.3k+21.809%+21.8%$53,082.000000$53,082.000000$53.1k+16.877%+16.9%$49,286.000000$49,286.000000$49.3k+8.519%+8.52%5$48,558.000000$48,558.000000$48.6k+6.916%+6.92%$45,417.000000$45,417.000000$45.4k+0.000%0%6$41,544.000000$41,544.000000$41.5k-8.528%-8.53%$39,375.000000$39,375.000000$39.4k-13.303%-13.3%7$39,155.000000$39,155.000000$39.2k-13.788%-13.8%8$36,429.000000$36,429.000000$36.4k-19.790%-19.8%9$32,153.000000$32,153.000000$32.2k-29.205%-29.2%10

Six-Figure Incomes by Block Group#6

Percentage of households with incomes above $100k.
Scope: households in Block Group 950300-2, selected other block groups in Skamania County, and entities that contain Block Group 950300-2
< $25k
$25-50k
$50-100k
$100-200k
$200k+
50%0%Count#950200-1B.G. 950200-1950200-2B.G. 950200-2PacificWashingtonPortland, Vancouver, and Hillsboro Metro AreaPortland AreaWest950100-1B.G. 950100-1United States of AmericaUnited States950400-2B.G. 950400-2950500-2B.G. 950500-2Skamania CountySkamania950300-2B.G. 950300-2ZIP Code 98648ZIP 98648950200-3B.G. 950200-3950300Tract 950300950400-1B.G. 950400-1950300-1B.G. 950300-1950500-1B.G. 950500-1-31.240429%-19.142420%-11.791730%-62.174579%62%34.456355%3.369066%37.825421%38%2471-31.067961%-21.553398%-13.398058%-66.019417%66%26.019417%7.961165%33.980583%34%1752-29.496012%-20.848639%-19.576985%-69.921636%70%22.208840%7.869523%30.078364%30%5,339,5125.34M-31.821742%-21.401087%-18.342835%-71.565664%72%22.118767%6.315569%28.434336%28%766,762767k-32.203847%-21.704625%-18.095423%-72.003895%72%21.945446%6.050658%27.996105%28%250,989251k-30.184617%-21.973788%-20.203518%-72.361923%72%20.878868%6.759208%27.638077%28%7,241,1497.24M-18.965517%-44.827586%-8.620690%-72.413793%72%27.586207%0.000000%27.586207%28%163-29.966666%-23.121086%-22.339882%-75.427634%75%18.905615%5.666751%24.572366%25%28,925,66528.9M-31.204380%-27.372263%-17.883212%-76.459854%76%18.430657%5.109489%23.540146%24%1294-9.141791%-28.358209%-39.552239%-77.052239%77%22.947761%0.000000%22.947761%23%1235-30.085209%-23.399607%-24.819751%-78.304566%78%18.964387%2.731047%21.695434%22%993-27.876106%-23.451327%-32.079646%-83.407080%83%14.823009%1.769912%16.592920%17%756-33.089431%-21.707317%-29.512195%-84.308943%84%14.146341%1.544715%15.691057%16%193-40.740741%-18.803419%-24.786325%-84.330484%84%14.245014%1.424501%15.669516%16%1107-29.707602%-20.467836%-35.204678%-85.380117%85%13.216374%1.403509%14.619883%15%125-31.003040%-29.179331%-25.835866%-86.018237%86%10.334347%3.647416%13.981763%14%468-31.761787%-17.121588%-38.709677%-87.593052%88%11.414392%0.992556%12.406948%12%509-36.745407%-27.296588%-30.183727%-94.225722%94%5.774278%0.000000%5.774278%6%2210

Definitions

  • Household Income: total income from all people in the household
  • Median: in terms of income, it is the income for which 50% of households have a lower income, and 50% have a higher income
  • Percentile: for example, the 80th percentile of household income is the income for which 80% of household have a lower income and 20% have a higher income
  • Quintile: a quintile is 20% of a population, grouped by percentile; for example, the 2nd quintile is all members of a population between the 20th and 40th percentiles
  • Gini Index: a statistical measure of how unevenly income is distributed in a population (ranging from 0% to 100%, the higher the number, the greater the inequality)

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