Some helpful thoughts to consider as you look through this data.
Data Aggregation and Dissemination: Census data is typically aggregated and disseminated at different geographic levels, ranging from blocks to larger areas like census tracts, counties, and states. The accuracy of poverty estimates diminishes as the geographic unit becomes smaller due to potential data suppression to protect individual privacy.
Margin of Error: Smaller geographic units often have a higher margin of error in the data, which means that poverty estimates could be less accurate and less reliable at the block level compared to larger areas. This is particularly true for low-income populations that may be undercounted or undersampled in the census.
Data Suppression: To protect privacy, census data may be suppressed or modified in areas with a low population, which could affect the accuracy of poverty estimates for small geographic units.
Sampling and Representation: Census data collection involves sampling, and not every household may respond to the census. This can lead to underrepresentation of certain groups, including low-income families. Moreover, the demographic characteristics of a block can change over time, affecting the accuracy of historical poverty estimates.
Local Variation: Poverty is not evenly distributed within neighborhoods or blocks. There may be pockets of poverty or affluence within a small geographic area. This variation can be challenging to capture accurately with census data alone.
Data Quality and Updates: Census data quality can vary depending on factors like the willingness of residents to respond, data collection methods, and local outreach efforts. Additionally, census data is typically collected every 10 years, which may not capture short-term changes in poverty levels.
Supplementary Data: To enhance the accuracy of poverty estimates at the block level, researchers often use supplementary data sources, such as administrative records, surveys, and local community data.
Statistical Techniques: Researchers may employ statistical techniques to estimate poverty rates at finer geographic levels based on available data, but these estimates could be less precise.
Sources and Definitions
All statistics represented on this site are taken from the U.S. Census Bureau (2020) unless otherwise specified below.
Home / Neighborhood Demographic Snapshots
- People
- Life Expectancy: U.S. Life Expectancy Study (2015)
- Churches
- All data in this section was taken from gathered church information based on IRS Charitable Listings
Realities
1. Affordable housing
- Bellwether stat - American Community Survey 5-Year Data (2009-2021)
- Cost Burden Over Time - American Community Survey 5-Year Data (2009-2021)
- Rental vs. Owner at Income Level - American Community Survey 5-Year Data (2009-2021)
- Ownership by Income Level Over Time - American Community Survey 5-Year Data (2009-2021)
- Homeowners as % of Race Over time - American Community Survey 5-Year Data (2009-2021)
2. Childhood Literacy
- Bellwether stat - EDFacts Data Files (U.S. Department of Education)
- Reading Proficiency by Race - U.S. Department of Education
- Reading Level by Economic Status - U.S. Department of Education
- Reading Achievement Over Time - U.S. Department of Education
- Household Educational Attainment - American Community Survey 5-Year Data (2009-2021)
- The National Center for Education Statistics measures reading scores at grades 4, 8 and 12. https://nces.ed.gov/programs/coe/indicator/cnb
3. Church Growth/Decline
- Grammich, C. A., Dollhopf, E., Gautier, M., Houseal, R., Jones, D. E., Krindatch, A., ... Thumma, S. (2023, March 31). U.S. Religion Census - Religious Congregations and Membership Study, 2020 (County File).
4. Community Outreach by Churches
- Bellwether stat – Data collected from church websites and IRS Exempt Organization Business Master File (https://www.irs.gov/charities-non-profits/exempt-organizations-business-master-file-extract-eo-bmf)
- Churches with Next Generation Programming – Data collected from church websites and IRS Exempt Organization Business Master File (https://www.irs.gov/charities-non-profits/exempt-organizations-business-master-file-extract-eo-bmf)
- Churches with Schools, Preschools, and Daycare – Data collected from church websites and IRS Exempt Organization Business Master File (https://www.irs.gov/charities-non-profits/exempt-organizations-business-master-file-extract-eo-bmf)
- Churches with Online Services – Data collected from church websites and IRS Exempt Organization Business Master File (https://www.irs.gov/charities-non-profits/exempt-organizations-business-master-file-extract-eo-bmf)
- Churches with Community Service Initiatives – Data collected from church websites and IRS Exempt Organization Business Master File (https://www.irs.gov/charities-non-profits/exempt-organizations-business-master-file-extract-eo-bmf)
5. Educational Attainment
- Bellwether stat - American Community Survey 5-Year Data (2009-2021)
- Percent with High School Diploma – Charlotte/Mecklenburg Quality of Life Explorer (Education Level - High School Diploma)
- Income level by Educational Attainment - American Community Survey 5-Year Data (2009-2021)
- Educational Attainment - American Community Survey 5-Year Data (2009-2021)
- Grade School enrollment - American Community Survey 5-Year Data (2009-2021)
6. Family Structure
- Bellwether - American Community Survey 5-Year Data (2009-2021)
- Educational Attainment by Family Structure - National Center for Education Statistics from their National Household Education Survey: Parent and Family Involvement in Education (2019)
- Family Poverty by Marital Status - American Community Survey 5-Year Data (2009-2021)
- Marital Status by Race - American Community Survey 5-Year Data (2009-2021)
- Single Parent vs Two Parent Homes Over Time- American Community Survey 5-Year Data (2009-2021)
7. Immigration and Refugees
- Bellwether – U.S. Census Quick Facts Table
- Non-English Language Breakdown - American Community Survey 5-Year Data (2009-2021) - (https://www.census.gov/topics/population/language-use/about.html)
- Underserved Populations by Language – Data collected from church websites and IRS Exempt Organization Business Master File (https://www.irs.gov/charities-non-profits/exempt-organizations-business-master-file-extract-eo-bmf)
- Immigrants by Generation Breakdown - American Community Survey 5-Year Data (2009-2021)
- Immigrant vs. Refugee % in Greater Charlotte - DHS 2021 Profiles on Lawful Permanent Residents - State Immigration Data Sheets FY 2021 Immigration Data and Statistics | Homeland Security
8. Life Expectancy
- Bellwether – Country Health Rankings
- Access to Health Insurance - American Community Survey 5-Year Data (2009-2021)
- Low Access to a Grocery Store – Economic Research Service U.S. DEPARTMENT OF AGRICULTURE (Food Access Research Atlas)
- Health Factors – American Community Survey 5-Year Data (2009-2021)
- Life Expectancy Percentile – U.S. Small-area Life Expectancy Estimates Project - USALEEP (Centers for Disease Control and Prevention)
9. Religious Affiliation
- Bellwether – County Membership Report (2020) (The Association of Religious Data Archives)
- Other Houses of Worship – Community Profile Builder (The Association of Religious Data Archives)
- Broad Religious Group Trajectory – County Membership Report (2020) (The Association of Religious Data Archives)
- Smaller Religious Tradition Trajectory – County Membership Report (2020) (The Association of Religious Data Archives)
- Religious Affiliation by Type - Barna Faithview 2021 | barna.com
Definitions
Families in Poverty To calculate total family income, the incomes of all related family members that live together are added up to determine poverty status. If an individual or group of individuals (such as housemates) are not living with family members, their own individual income is compared with their individual poverty threshold. For more detail see https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html
Indo-European languages is as follows (except for the ones explicitly listed in the graph): Haitian, Italian, Portuguese, German, Dutch, Greek, Russian, Polish, Serbo-Croatian, Bulgarian, Czech, Ukrainian, Armenian, Persian, Gujarati, Hindi, Urdu, Punjabi, Bengali, Nepali, Marathi, Albanian, Lithuanian, Pashto (Pushto), Romanian, Swedish, Telugu, Tamil, Malayalam, Kannada, or other Dravidian languages
Economically Disadvantaged The North Carolina Department of Public Instruction is defining Economically Disadvantaged status as: Any student identified by a Public School Unit (PSU), meeting the criteria of Directly Certified, Categorically Eligible, or a method consistent with state or federal guidance for financial assistance regardless of participation or eligibility in the National School Lunch Program (NSLP) https://www.dpi.nc.gov/data-reports/economically-disadvantaged
Immigrant Any person lawfully in the United States who is not a U.S. citizen, U.S. national, or person admitted under a nonimmigrant category as defined by the INA Section 101(a)(15). From https://www.dhs.gov/immigration-statistics/reporting-terminology-definitions
Refugee Status granted to an individual, prior to departure for and arrival in the United States, who has been determined by competent authority to be fleeing persecution or have a well-founded fear of persecution in their own country because of race, religion, nationality, membership in a particular social group or political opinion. From https://www.dhs.gov/immigration-statistics/reporting-terminology-definitions
TOTAL ADHERENTS: all members, including full members, their children, and the estimated number of other participants who are not considered members; for example, the "baptized," "those not confirmed," "those not eligible for Communion," "those regularly attending services," and the like. From https://www.thearda.com/data-archive?fid=RCMSCY20