Methodology & Sources
Program Access Estimates
The program access graphs (Gap 1) display the “gap” between the estimated number of people eligible for Medicaid, SNAP, WIC, CCCAP, TANF, and HUD rental assistance programs and current caseloads for each of these programs by county.
Caseload numbers were estimated from administrative data obtained from the state agencies that oversee these programs: Colorado Department of Human Services and Colorado Department of Public Health and Environment; as well as the US Department of Housing and Urban Development. Caseload numbers for Medicaid came from the Colorado Health Institute’s Eligible but Not Enrolled reports (their data came from Colorado Department of Health Care Policy and Financing). Annual county caseload numbers for 2015, 2016, 2017, 2018, and 2019 were averaged to align with eligible population estimates from the American Community Survey. Since we were only able to collect comparable estimates on eligible populations for WIC for 2015-2017, caseload numbers for that program reflect the average of those three years, not the full five-year period analyzed for the remaining programs. CDHS suppresses caseload data for counties with TANF caseloads of less than 30 to protect client privacy. Caseload data was averaged for counties for years data was available—if no year had data available then we did not include an estimate for that county.
Eligibility estimates were derived mostly from the US Census Bureau’s American Community Survey. This does create some limitations to our analysis—mainly that we are comparing administrative data with estimates derived from a small, yet representative sample of the population of Colorado. Eligible population estimates from the American Community Survey are at the 90% confidence level—in other words the true number of eligible people or households in a county could vary, within a range, from the estimates we include in the Gap Map. While these ranges are insignificant for Colorado’s larger counties, a different value within the margin of error for smaller counties could have a significant change on the estimated outcome. That said, we feel confident that the US Census Bureau’s estimates are the best estimates available but do encourage caution when interpreting the estimates for smaller counties.
Due to complex eligibility requirements, it would be exceedingly difficult if not impossible to accurately estimate the true eligible population for these programs. As such, we only take into account income eligibility when determining if an individual or household is likely eligible for a program. However, programs have different rules around what counts as income for eligibility purposes which also differ from the US Census Bureau’s definition of income.
Data from the US Census Bureau came from the 2019 5-year American Community Survey. The American Community Survey is available in two versions: a 1-year and a 5-year survey. While the 1-year survey is more timely, estimates are not available for less populous geographies—most of Colorado’s counties. The 5-year estimates pool the 1-year estimates in 2019 with 1-year estimates from the previous four years allowing the Census Bureau to create more reliable estimates for counties with smaller populations. We average the caseload numbers from the corresponding five years (2015 through 2019) in our analysis to account for the fact our eligibility estimates will be influenced by population trends over a five-year period. It is important to note that for some programs, caseload data is based on the number of families or households served while others collect caseload data based on individuals served. We used either population or household estimates, depending on the program in our analysis.
Estimates for eligible Medicaid populations were provided by the Colorado Health Institute through their annual Eligible But Not Enrolled (EBNE) reports. We thank them for their assistance with this data. Estimates for renter households with incomes of 50% of the area median income (AMI) or below came from the US Department of Housing and Urban Development’s Comprehensive Housing Affordability Strategy (CHAS) data. This data is created by HUD using 5-year ACS data.
Fiscal Data
The primary source of fiscal data for the four programs we looked at were the state agencies who administer these programs.
- Gap 2: For TANF and CCCAP, we averaged the allocation and expenditure data for SFY 2015, 2016, 2017, 2018, and 2019. Although Colorado’s state fiscal year (July-June) does not line up with the calendar year (January-December), there is enough overlap between the years 2015 and 2019 to provide us with reasonably comparable values.
- Gap 3: For CCCAP, SNAP, and TANF, we used data from state agencies to estimate how much money in program benefits are distributed per administrative dollar spent. This measure can be influenced by many factors, including efficiency of enrollment procedures, staffing costs driven by cost of living, the types of services a county chooses to provide, or other unique factors. For example, a high benefit to administrative cost ratio in a program like CCCAP could reflect the high cost of childcare in the area rather than an indicator that a county is more generous in the amount of childcare subsidy it provides to families.
- Gap 4: For CCCAP, SNAP, TANF, and Medicaid we used data from state agencies to estimate the cost per case—the administrative dollars spent per cost to enroll and manage a case. It is important to note that cost per case is a measure of administrative costs and not the amount of benefits provided to individuals or households. A lower cost per case could be an indicator of more efficient systems for enrolling, processing, and managing caseloads. At the same time, a low cost per case might be indicative of county understaffing and that the low value was achieved by staff having more cases than they can effectively manage.
We do not include WIC or HUD rental assistance programs in our fiscal gap analysis. These programs are administered in a slightly different manner than the other four programs (SNAP, TANF, Medicaid, and CCCAP). WIC and HUD rental assistance programs are administered by local agencies partners (WIC Clinics and public housing agencies) that may operate outside of county government. For example, private non-profit organizations can serve as WIC Clinics. There is also a difference in terms of the geographic areas served by these local agencies. In some cases, there might be multiple local agencies in a county, such as in Boulder County where the Boulder County Housing Authority, Boulder Housing Partners, and Longmont Housing Authority all serve as public housing agencies. On the other hand, multiple counties may be served by a single local agency partner, such as in northwest Colorado where WIC Clinics in multiple counties are managed by Northwest Colorado Health, a non-profit organization.
While we did not include WIC and rental assistance programs in the analysis, we believe the program access data is a valuable starting point for advocates who would like to understand if there could be improvements in the way these programs are run in their communities. A list of WIC Clinics in Colorado can be found at: https://www.coloradowic.gov/find-wic-clinic; and public housing agencies: https://www.hud.gov/program_offices/public_indian_housing/pha/contacts.
Additional Considerations When Reviewing the Data
Because there are so many program- or county-specific variables that might explain a high or low outcome in any of these gaps, we encourage advocates, policy makers, elected officials, and others interested in improving these programs to interpret the results presented in the Gap Map with caution. In addition, these programs are not static and many have changed since 2019. We offer this data as a snapshot of how these programs were being administered prior to the COVID-19 pandemic, while acknowledging that the administration of these programs, and the challenges facing participants and administrators alike, have changed drastically since 2020.
For these, and many other reasons, we stress that this data should be used to as a starting point for conversations among all stakeholders about the best ways to improve these programs and make them work better for the low-income Coloradans they are intended to serve.
Data sources
SNAP
- Caseload data: Colorado Department of Human Services
- Average county caseload CY 2015, 2016, 2017, 2018, and 2019
- Fiscal data: Colorado Department of Human Services:
- County administrative expenses in CY 2015, 2016, 2017, 2018, and 2019
- Total annual benefits issued by county CY 2015, 2016, 2017, 2018, and 2019
- Eligible population estimates:
- We followed the approach of USDA’s Program Access Index (PAI), which means we used estimates from the 2019 5-year American Community Survey for the population at or below 125% FPL in each county to estimate the eligible population in each county.
Medicaid (Health First Colorado)
- Caseload data: Colorado Health Institute
- Annual Medicaid enrollment as captured in CHI’s Eligible but Not Enrolled reports for 2015, 2016, 2017, 2018, and 2019 using data from Colorado Department of Health Care Policy and Financing.
- Fiscal data: Colorado Department of Health Care Policy and Financing
- Total county administrative expenditures (regular and enhanced) for CY 2015, 2016, 2017, 2018, and 2019.
- Eligible population estimates: Colorado Health Institute
- Eligible Medicaid population as captured in CHI’s Eligible but Not Enrolled reports for 2015, 2016, 2017, 2018, and 2019 using data from the American Community Survey.
WIC
- Caseload data: Colorado Department of Public Health and Environment
- Annual number of pregnant women, infants, and children served by county for CY 2015, 2016, and 2017 as captured in CDPHE’s “Colorado WIC Percent Eligible Enrolled” reports.
- Fiscal data: N/A
- Eligible population estimates: Colorado Department of Public Health and Environment
- Annual number of pregnant women, infants, and children eligible for WIC by county for CY 2015, 2016, and 2017 as captured in CDPHE’s “Colorado WIC Percent Eligible Enrolled” reports.
CCCAP
- Caseload data: Colorado Department of Human Services (We requested data prior to the creation of the Department of Early Childhood Education)
- Unduplicated count of children who used CCCAP care by county (defined as any CCCAP subsidy dollars spent on care for al child and/or any positive amount of CCCAP care units used (i.e., any instance of care covered by parent fee) for CY 2015, 2016, 2017, 2018, and 2019
- Fiscal data: Colorado Department of Human Services
- Total administrative and direct service expenditures by county, SFY 2015, 2016, 2017, 2018, and 2019.
- Eligible population estimates:S. Census Bureau, 2019 5-Year American Community Survey Public Use Microdata Sample (accessed through IPUMS USA)
- Population by county of the population ages 13 and below living in a household within income at or below 165% FPL.
- We used the Missouri Census Data Center’s Geocorr (geographic correspondence engine) to derive county-level estimates using PUMA-level estimates from the ACS.
TANF
- Caseload data: Colorado Department of Human Services
- Annual Colorado Works unduplicated basic cash assistance, state diversion and county diversion cases by county SFY 2015, 2016, 2017, 2018, and 2019.
- Fiscal data: Colorado Department of Human Services
- Annual Colorado Works allocation, expenditures, beginning balance of reserve fund, administrative expenditures and basic cash assistance and state diversion payment amounts for SFY 2015, 2016, 2017, 2018, and 2019.
- Eligible population estimates: US Census Bureau, 2019 5-Year American Community Survey
- County population at or below 100% FPL with children under 18
HUD rental assistance programs
- Caseload data: US Department of Housing and Urban Development, Picture of Subsidized Households
- The number of households served through the Housing Choice Voucher, Project-Based Section 8, and Public Housing Programs by county in CY 2015, 2016, 2017, 2018, and 2019
- Fiscal data: N/A
- Eligible population estimates: US Department of Housing and Urban Development, 2015-2019 Comprehensive Housing Affordability Strategy (CHAS) data
- Number of renter households with incomes of 50% AMI and below by county