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Poverty Status Of Families By Household Type By Number Of Own Children Under...
- zipatlas.com
Updated Dec 18, 2023+ more versions
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EmailClick to copy linkLink copiedCiteZip Atlas Inc (2023). Poverty Status Of Families By Household Type By Number Of Own Children Under 18 Years [Dataset]. https://zipatlas.com/zip-code-database-premium.htmDataset updatedDec 18, 2023Dataset authored and provided byZip Atlas IncLicensehttps://zipatlas.com/zip-code-database-download.htm#licensehttps://zipatlas.com/zip-code-database-download.htm#license
DescriptionPoverty Status Of Families By Household Type By Number Of Own Children Under 18 Years Report based on US Census and American Community Survey Data.
Poverty Rate (<200% FPL) and Child (under 18) Poverty Rate by California...
- data.ca.gov
- data.chhs.ca.gov
- +4more
csv, pdf, xlsx, zipUpdated Nov 7, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteCalifornia Department of Public Health (2025). Poverty Rate (<200% FPL) and Child (under 18) Poverty Rate by California Regions [Dataset]. https://data.ca.gov/dataset/poverty-rate-200-fpl-and-child-under-18-poverty-rate-by-california-regionspdf, xlsx, csv, zipAvailable download formatsDataset updatedNov 7, 2025LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyArea coveredCaliforniaDescriptionThis table contains data on the percentage of the total population living below 200% of the Federal Poverty Level (FPL), and the percentage of children living below 200% FPL for California, its regions, counties, cities, towns, public use microdata areas, and census tracts. Data for time periods 2011-2015 (overall poverty) and 2012-2016 (child poverty) and with race/ethnicity stratification is included in the table. The poverty rate table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Poverty is an important social determinant of health (see http://www.healthypeople.gov/2020/topicsobjectives2020/overview.aspx?topicid=39) that can impact people’s access to basic necessities (housing, food, education, jobs, and transportation), and is associated with higher incidence and prevalence of illness, and with reduced access to quality health care. More information on the data table and a data dictionary can be found in the About/Attachments section.
Poverty Status of Families by Zip Code Tabulation Area 2010-2014
- johnsnowlabs.com
csvShareFacebookTwitterEmailClick to copy linkLink copiedCiteJohn Snow Labs, Poverty Status of Families by Zip Code Tabulation Area 2010-2014 [Dataset]. https://www.johnsnowlabs.com/marketplace/poverty-status-of-families-by-zip-code-tabulation-area-2010-2014/csvAvailable download formatsDataset authored and provided byJohn Snow LabsTime period coveredJan 1, 2010 - Dec 31, 2014Area coveredUnited StatesDescriptionThis dataset identifies the poverty status of families by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. The family characteristics include race, age, householder work status, supplemental income, educational attainment, number of related children, number of people, and number of workers in the household.
Children in low income families: local area statistics 2014 to 2024
- gov.uk
Updated Mar 27, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Work and Pensions (2025). Children in low income families: local area statistics 2014 to 2024 [Dataset]. https://www.gov.uk/government/statistics/children-in-low-income-families-local-area-statistics-2014-to-2024Dataset updatedMar 27, 2025AuthorsDepartment for Work and PensionsDescriptionThis release has replaced DWP’s Children in out-of-work benefit households and HMRC’s Personal tax credits: Children in low-income families local measure releases.
For both Relative and Absolute measures, Before Housing Costs, these annual statistics include counts of children by geography, including by:
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local authority
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Westminster parliamentary constituency
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Ward
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Middle Super Output Area
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year (2014 to 2023)
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age of child
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gender of child
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family type
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work status of the family
Explore the statistics with our interactive tool
Find further breakdowns of these statistics on https://stat-xplore.dwp.gov.uk/">Stat-Xplore, an online tool for exploring some of DWP’s main statistics.
Future releases and developments
Find future release dates in the statistics release calendar and more about DWP statistics on the Statistics at DWP page.
Future developments to DWP official statistics and any changes to statistical methodology are outlined in the statistical work programme.
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Climate Ready Boston Social Vulnerability
- cloudcity.ogopendata.com
- data.boston.gov
- +3more
Updated Sep 21, 2017+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteGeographic Information Systems (2017). Climate Ready Boston Social Vulnerability [Dataset]. https://cloudcity.ogopendata.com/dataset/climate-ready-boston-social-vulnerabilityarcgis geoservices rest api, kml, csv, zip, geojson, htmlAvailable download formatsDataset updatedSep 21, 2017Dataset provided byBostonMapsAuthorsGeographic Information SystemsArea coveredBostonDescriptionSocial vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses.Source:The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.Population Definitions:Older Adults:Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.Attribute label: OlderAdultChildren:Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.Attribute label: TotChildPeople of Color:People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups aswell. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.Attribute label: POC2Limited English Proficiency:Without adequate English skills, residents can miss crucial information on how to preparefor hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more sociallyisolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.Attribute label: LEPLow to no Income:A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.Attribute label: Low_to_NoPeople with Disabilities:People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty.Attribute label: TotDisMedical Illness:Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.Attribute label: MedIllnesOther attribute definitions:GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census TractAREA_SQFT: Tract area (in square feet)AREA_ACRES: Tract area (in acres)POP100_RE: Tract population countHU100_RE: Tract housing unit countName: Boston Neighborhood - f
Variations in any telehealth use by race/ethnicity, RUCA, zip-code level...
- plos.figshare.com
xlsUpdated Jun 26, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteBisakha Sen; Md Jillur Rahim; Julie McDougal; Pradeep Sharma; Nianlan Yang; Anne Brisendine; Ye Liu; Van Nghiem; David Becker (2023). Variations in any telehealth use by race/ethnicity, RUCA, zip-code level poverty & broadband access among pediatric Medicaid enrollees, stratification by gender. [Dataset]. http://doi.org/10.1371/journal.pone.0287598.t002xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0287598.t002Dataset updatedJun 26, 2023Dataset provided byPLOS ONEAuthorsBisakha Sen; Md Jillur Rahim; Julie McDougal; Pradeep Sharma; Nianlan Yang; Anne Brisendine; Ye Liu; Van Nghiem; David BeckerLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionVariations in any telehealth use by race/ethnicity, RUCA, zip-code level poverty & broadband access among pediatric Medicaid enrollees, stratification by gender.
Variations in any telehealth use by race/ethnicity, RUCA, zip-code level...
- plos.figshare.com
xlsUpdated Jun 26, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteBisakha Sen; Md Jillur Rahim; Julie McDougal; Pradeep Sharma; Nianlan Yang; Anne Brisendine; Ye Liu; Van Nghiem; David Becker (2023). Variations in any telehealth use by race/ethnicity, RUCA, zip-code level poverty & broadband access among Alabama pediatric Medicaid enrollees. [Dataset]. http://doi.org/10.1371/journal.pone.0287598.t001xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0287598.t001Dataset updatedJun 26, 2023AuthorsBisakha Sen; Md Jillur Rahim; Julie McDougal; Pradeep Sharma; Nianlan Yang; Anne Brisendine; Ye Liu; Van Nghiem; David BeckerLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyArea coveredAlabamaDescriptionVariations in any telehealth use by race/ethnicity, RUCA, zip-code level poverty & broadband access among Alabama pediatric Medicaid enrollees.
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Poverty Status Of Families By Household Type By Number Of Own Children Under 18 Years Report based on US Census and American Community Survey Data.