Economic Security
Households Receiving SNAP by Race/Ethnicity

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Source: U.S. Census Bureau

What does this measure?

The proportion of households broken out by race and ethnicity that participate in the Supplemental Nutrition Assistance Program (SNAP, formerly known as food stamps).

Why is this important?

The SNAP program provides government funding for low-income people to buy food. It therefore is an indication of how many people in a region rely on government assistance to meet their basic needs.

How is our region performing?

In 2012-16, 42% of black or African-Americans and 41% of Hispanic or Latinos in our region participated in the SNAP program, in comparison to 10% of whites. While white participation rates were on par with state and national levels, Hispanic or Latino and black or African American participation rates were roughly 1.5 that of state and national levels. Hispanic or Latino participation at the regional level increased by 8 percentage points from 2007-11 to 2012-16, a greater increase than Hispanic or Latino participation at the state or national level over the same time frame.

Within our region, Monroe County had a participation rate of 38% for blacks or African-Americans and Hispanic or Latinos, compared to a rate of 9% for whites. This is largely driven by the City of Rochester, which had a rate of 42% for black or African-Americans and Hispanic or Latinos, and a rate of 10% for whites.

Notes about the data

The Census Bureau asks people to identify their race (white, African American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.

The multiyear figures are from the Census Bureau's American Community Survey (ACS). Studies have found that ACS estimates of enrollment in public benefit programs tend to underestimate the true rate. The estimates reported above should be considered a lower bound of the true estimate. The bureau combined five years of responses to the survey to provide estimates for smaller geographic areas and increase the precision of its estimates. However, because the information came from a survey, the samples responding to the survey were not always large enough to produce reliable results, especially in small geographic areas. CGR has noted on data tables the estimates with relatively large margins of error. Estimates with three asterisks have the largest margins, plus or minus 50% or more of the estimate. Two asterisks mean plus or minus 35%-50%, and one asterisk means plus or minus 20%-35%. For all estimates, the confidence level is 90%, meaning there is 90% probability the true value (if the whole population were surveyed) would be within the margin of error (or confidence interval). The survey provides data on characteristics of the population that used to be collected only during the decennial census. Data for this indicator are expected to be released in December.

Households Receiving SNAP by Race/Ethnicity, 2012-16
AsianBlack or African AmericanLatino or HispanicWhite
United States8%28%22%10%
NYS14%28%32%10%
NYS (excluding NYC)7%30%21%9%
Region11%**42%41%10%
Monroe12%**43%43%9%
Surrounding Counties5%******36%**35%11%
Genesee8%******57%**24%******11%
Livingston5%******50%****37%****12%
Ontario2%******26%****50%**10%
Orleans2%******20%******34%******17%
Seneca20%******49%******29%******11%
Wayne4%******35%**23%****11%
Wyoming16%******61%******10%
Yates17%******32%******12%
Rochester32%**49%53%23%
Batavia26%******76%**31%******18%
Canandaigua69%******14%
Geneva11%******38%******56%**19%**

Source: U.S. Census Bureau
Notes: Multiyear results are from rolling American Community Survey. * Margin of error between 20% & 35% of estimate; ** margin of error between 35% & 50%; *** margin of error greater than 50%. The Census Bureau asks people to identify their race (white, African-American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.




Number of Households Receiving SNAP by Race/Ethnicity, 2012-16
AsianBlack or African AmericanLatino or HispanicWhite
United States395,4844,006,8443,286,4119,306,909
NYS67,691301,422346,734524,720
NYS (excluding NYC)9,04397,13063,679332,641
Region988**18,9409,40042,079
Monroe943**17,7788,01922,038
Surrounding Counties45******1,162**1,38120,041
Genesee8******304**97******2,440
Livingston11******113****165****2,915
Ontario7******231****690**4,028
Orleans2******100******142******2,549
Seneca17******91******47******1,460
Wayne6******315**200****3,902
Wyoming3******25******1,620
Yates5******40******1,127
Rochester596**15,4926,45210,832
Batavia8******229**39******1,033
Canandaigua63******621
Geneva7******198******360**734**

Source: U.S. Census Bureau
Notes: Multiyear results are from rolling American Community Survey. * Margin of error between 20% & 35% of estimate; ** margin of error between 35% & 50%; *** margin of error greater than 50%. The Census Bureau asks people to identify their race (white, African-American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.




Households Receiving SNAP by Race/Ethnicity, 2007-11
AsianBlack or African AmericanLatino or HispanicWhite
United States6%23%17%8%
NYS11%24%28%8%
NYS (excluding NYC)6%25%17%7%
Region8%**37%34%7%
Monroe8%**38%36%7%
Surrounding Counties11%******36%**24%**9%
Genesee48%******25%******24%******9%
Livingston6%******30%******43%******9%
Ontario4%******23%****24%****7%
Orleans7%******38%******12%******14%
Seneca30%******34%******8%
Wayne4%******53%**17%******9%
Wyoming61%******8%
Yates100%******19%******12%
Rochester19%**43%45%18%
Batavia58%******41%******60%******15%
Canandaigua59%******14%**
Geneva17%******40%****32%****12%**

Source: U.S. Census Bureau
Notes: Multiyear results are from rolling American Community Survey. * Margin of error between 20% & 35% of estimate; ** margin of error between 35% & 50%; *** margin of error greater than 50%. The Census Bureau asks people to identify their race (white, African-American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.




Number of Households Receiving SNAP by Race/Ethnicity, 2007-11
AsianBlack or African AmericanLatino or HispanicWhite
United States259,9133,199,7642,293,0287,039,407
NYS47,905249,646280,735416,258
NYS (excluding NYC)6,14479,49844,554250,226
Region699**16,2506,33830,763
Monroe610**15,1345,58615,382
Surrounding Counties89******1,116**752**15,381
Genesee45******129******95******1,969
Livingston9******53******123******2,114
Ontario10******208****243****2,804
Orleans4******208******47******2,064
Seneca15******70******1,068
Wayne6******483**142******3,014
Wyoming25******1,201
Yates35******7******1,147
Rochester387**13,5564,8028,283
Batavia35******123******88******878
Canandaigua30******670**
Geneva10******193****163****481**

Source: U.S. Census Bureau
Notes: Multiyear results are from rolling American Community Survey. * Margin of error between 20% & 35% of estimate; ** margin of error between 35% & 50%; *** margin of error greater than 50%. The Census Bureau asks people to identify their race (white, African-American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.







Worse than NYS by 10% or more
Up to 10% worse than NYS
Equal to or better than NYS


INDICATORS - Grouped by Topic REGIONAL VALUE YEAR NYS COMPARISON TREND | REGION
Prenatal Care 80% 2016 3 1
Increasing
Prenatal Care, by Race/Ethnicity 0 10 Not Applicable
Low Birth Weight Babies 7% 2016 3 0
Maintaining
Low Birth Weight Babies, Race/Ethnicity, Monroe County 0 10 Not Applicable
Infant Mortality Rate 6.0 2014-16 2 0
Maintaining
Infant Mortality Rate, Race/Ethnicity, Monroe County 0 10 Not Applicable
Children with Elevated Blood Lead Levels 0.7% 2015 2 -1
Decreasing
Children in Poverty 21% 2012-16 3 1
Increasing
Children in Poverty, Race/Ethnicity 0 10 Not Applicable
Single-Parent Families 39% 2012-16 2 1
Increasing
Single-Parent Families, by Race/Ethnicity 0 10 Not Applicable
Rate of Child Abuse and Neglect 18 2016 2 1
Increasing
Rate of Foster Care Admissions 2.1 2017 2 -1
Decreasing
Rate of Teen Pregnancy 2% 2016 3 -1
Decreasing
Arts and Culture Attendance 0 10 Not Applicable
Tourism Spending $1,368 2017 1 1
Increasing
Recreation Spending $76 2017 1 -1
Decreasing
Voter Registration Rate 81% 2017 3 -1
Decreasing
Voter Participation Rate 58% 2016 3 0
Maintaining
Registered Library Borrowers 63% 2016 3 -1
Decreasing
Library Visits 6.0 2016 3 -1
Decreasing
Contributions as a Percentage of Income 1.7% 2016 2 0
Maintaining
Households Without Vehicles 10% 2012-16 3 0
Maintaining
Total Population 0.9% 2017 2 0
Maintaining
Population by Age 0 10 Not Applicable
Population by Race/Ethnicity 0 10 Not Applicable
Population by Age and Race/Ethnicity 0 10 Not Applicable
Disengaged Youth, Ages 16-19 6% 2012-16 3 -1
Decreasing
Median Household Income $53,369 2012-16 1 -1
Decreasing
Median Household Income, by Race/Ethnicity 0 10 Not Applicable
People Living in Poverty 14% 2012-16 3 1
Increasing
People Living in Poverty, by Race/Ethnicity 0 10 Not Applicable
Public Assistance Recipients 2.6% 2017 3 0
Maintaining
Approval Rate for Public Assistance Applications 26% 2017 0 -1
Decreasing
Households Receiving SNAP 14% 2012-16 3 1
Increasing
Households Receiving SNAP by Race/Ethnicity 0 10 Not Applicable
Tax Filers Receiving Earned Income Tax Credit 16% 2016 3 0
Maintaining
EITC Dollars $177 2016 1 1
Increasing
Change in Total Jobs 0.5% 2017 2 0
Maintaining
Change in Number of Business Establishments by Sector 0 10 Not Applicable
Change in Jobs by Sector 0 10 Not Applicable
Sector Shares of Regional Total Employment 0 10 Not Applicable
Unemployment Rate 5% 2017 2 1
Increasing
Unemployment Rate by Race/Ethnicity 0 10 Not Applicable
Average Salary by Sector 0 10 Not Applicable
Change in Average Salary Since 2000 3% 2017 3 1
Increasing
Change in Average Salary Since 2000 by Sector 0 10 Not Applicable
Employment-to-Population Ratio 73% 2017 3 -1
Decreasing
Per-Capita Spending for Local Government $3,645 2016 0 1
Increasing
Prekindergarten Participation 44% 2016 2 1
Increasing
School Spending Per Student $22,208 2017 1 1
Increasing
Instructional Spending Per Student $15,778 2017 1 1
Increasing
Students Receiving Special Education Services 9% 2017 3 1
Increasing
Grade 3 English 43% 2018 2 1
Increasing
Grade 3 English by Student Subgroup 0 10 Not Applicable
Grade 3 English by Race/Ethnicity 0 10 Not Applicable
Grade 3 Math 48% 2018 2 1
Increasing
Grade 3 Math by Student Subgroup 0 10 Not Applicable
Grade 3 Math by Race/Ethnicity 0 10 Not Applicable
Grade 8 English 41% 2018 2 1
Increasing
Grade 8 English by Student Subgroup 0 10 Not Applicable
Grade 8 English by Race/Ethnicity 0 10 Not Applicable
Grade 8 Math 47% 2017 3 1
Increasing
Regents Algebra 1 78% 2017 3 1
Increasing
Regents English 84% 2017 3 1
Increasing
Four-Year Cohort Graduation Rate 85% 2017 3 1
Increasing
Cohort Graduation Rate, Beyond Four Years 87% 2017 3 1
Increasing
Four-Year Cohort Graduation Rate by Race/Ethnicity 0 10 Not Applicable
Education Levels of Adults 0 10 Not Applicable
Education Levels of Adults by Race/Ethnicity 0 10 Not Applicable
People Without Health Insurance 5% 2016 3 -1
Decreasing
Supply of Doctors 34.4 2016 1 1
Increasing
Mortality Rate 685 2016 1 -1
Decreasing
Chlamydia Rate 50 2016 3 1
Increasing
Chlamydia Rates within Monroe County 0 10 Not Applicable
Gonorrhea Rate 21 2016 2 0
Maintaining
Gonorrhea Rates within Monroe County 0 10 Not Applicable
People Living with HIV 104 2016 0 1
Increasing
People Living with HIV by Race/Ethnicity 0 10 Not Applicable
People Living with AIDS 132 2016 0 1
Increasing
People Living with AIDS by Race/Ethnicity 0 10 Not Applicable
Percent of Days with Good Air Quality 0 10 Not Applicable
Alcohol-related Crashes 3 2017 2 -1
Decreasing
Median Home Value $130,597 2012-16 1 0
Maintaining
Admissions to Substance Abuse Treatment by Primary Substance 0 10 Not Applicable
Median Rental Prices $807 2012-16 3 -1
Decreasing
Housing Affordability for Homeowners 2.4 2012-16 3 0
Maintaining
Housing Affordability for Homeowners by Race/Ethnicity 0 10 Not Applicable
Overall Housing Cost Burden 31% 2012-16 3 -1
Decreasing
Housing Affordability for Renters 35% 2012-16 3 1
Increasing
Housing Affordability for Renters by Race/Ethnicity 0 10 Not Applicable
Homeownership Rate 68% 2012-16 3 -1
Decreasing
Homeownership Rate by Race/Ethnicity 0 10 Not Applicable
Vacant Housing Units 9% 2012-16 3 1
Increasing
Homeless Persons 0 10 Not Applicable
Serious Crimes 214 2017 1 -1
Decreasing
Violent Crimes 28 2017 3 1
Increasing
Victims of Domestic Violence 54 2017 0 -1
Decreasing
Incarceration Rates 13.7 2017 2 0
Maintaining
Incarceration Rates, by Race/Ethnicity 0 10 Not Applicable
Arrest Rates 197.7 2017 3 -1
Decreasing
Arrest Rates, by Race/Ethnicity 0 10 Not Applicable

Worse than NYS by 10% or more
Up to 10% worse than NYS
Equal to or better than NYS





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