This 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.

Note: Updates to this data product are discontinued. Over 1 in 4 rural children are living in families that are poor, according to the official poverty measure, up from 1 in 5 in 1999, but this change was uneven across the rural landscape. Counties with high vulnerability to child poverty, those with both low young adult education levels and high proportions of children in single-parent families, were generally the most hard-hit by the recession of the past decade and experienced substantial increases in their already high child poverty rates. Along with the recession, an increase in rural children in single-parent households, continuing from the 1990s, was a major contributor to the rise in child poverty after 2000. Three factors that shape the geography of high and increasing rural child poverty are explored below: economic conditions, young adult education levels, and family structure. This collection of maps complements the July 2015 Amber Waves feature, Understanding the Geography of Growth in Rural Child Poverty.

This dataset encompasses comprehensive annual statistics on children living in poverty across all counties in Missouri from the year 2000 through 2020. It serves as a valuable resource for analyzing trends and patterns in child poverty over two decades, providing insights into the economic challenges faced by families in different regions of the state. The data includes both the raw number of children in poverty and the percentage they represent of the total child population within each county, allowing for a nuanced understanding of the prevalence and distribution of child poverty.

The dataset's longitudinal nature enables researchers, policymakers, and social service organizations to track changes over time and assess the impact of economic conditions, policy interventions, and social programs on child poverty rates. By offering a granular view at the county level, the dataset highlights geographic disparities and can inform targeted efforts to address child poverty in Missouri. Whether used for academic research, policy analysis, or community planning, this dataset is an essential tool for anyone seeking to understand and combat child poverty in the state.

Dataset

This dataset was created by SPARSH GOYAL 27

Released under Other (specified in description)

Contents

Child Poverty Statistics - National Indicator 116: The proportion of children living in families in receipt of out of work benefits or tax credits where their reported income is less than 60% median income.

This 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.

The proportion of children living in families in receipt of out of work benefits for each local authority in England. https://www.gov.uk/government/collections/children-in-out-of-work-benefit-households--2 Source agency: Work and Pensions Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Local Child Poverty Proxy Measure (Formerly NI 116 proxy measure)

The Poverty Mapping Project: Global Subnational Prevalence of Child Malnutrition data set consists of estimates of the percentage of children with weight-for-age z-scores that are more than two standard deviations below the median of the NCHS/CDC/WHO International Reference Population. Data are reported for the most recent year with subnational information available at the time of development. The data products include a shapefile (vector data) of percentage rates, grids (raster data) of rates (per thousand in order to preserve precision in integer format), the number of children under five (the rate denominator), and the number of underweight children under five (the rate numerator), and a tabular data set of the same and associated data. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

In 2024, approximately 10.6 percent of the population was living below the national poverty line in the United States. This reflected a 0.5 percentage point decrease from the previous year. Most recently, poverty levels in the country peaked in 2010 at just over 15 percent. Poverty in the U.S. States The number of people living in poverty in the U.S. as well as poverty rates, vary greatly from state to state. With their large populations, California and Texas led that charts in terms of the size of their impoverished residents. On the other hand, Louisiana had the highest rates of poverty, standing at 20 percent in 2024. The state with the lowest poverty rate was New Hampshire at 5.9 percent. Vulnerable populations The poverty rate in the United States varies widely across different ethnic groups. American Indians and Alaska Natives are the ethnic group with the highest levels of poverty in 2024, with about 19 percent earning an income below the official threshold. In comparison, only about 7.5 percent of the White (non-Hispanic) and Asian populations were living below the poverty line. Children are one of the most poverty endangered population groups in the U.S. between 1990 and 2024. Child poverty peaked in 1993 with 22.7 percent of children living in poverty. Despite fluctuations, in 2024, poverty among minors reached its lowest level in decades, falling to 14.3 percent.

Will all children be able to read by 2030? The ability to read with comprehension is a foundational skill that every education system around the world strives to impart by late in primary school—generally by age 10. Moreover, attaining the ambitious Sustainable Development Goals (SDGs) in education requires first achieving this basic building block, and so does improving countries’ Human Capital Index scores. Yet past evidence from many low- and middle-income countries has shown that many children are not learning to read with comprehension in primary school. To understand the global picture better, we have worked with the UNESCO Institute for Statistics (UIS) to assemble a new dataset with the most comprehensive measures of this foundational skill yet developed, by linking together data from credible cross-national and national assessments of reading. This dataset covers 115 countries, accounting for 81% of children worldwide and 79% of children in low- and middle-income countries. The new data allow us to estimate the reading proficiency of late-primary-age children, and we also provide what are among the first estimates (and the most comprehensive, for low- and middle-income countries) of the historical rate of progress in improving reading proficiency globally (for the 2000-17 period). The results show that 53% of all children in low- and middle-income countries cannot read age-appropriate material by age 10, and that at current rates of improvement, this “learning poverty” rate will have fallen only to 43% by 2030. Indeed, we find that the goal of all children reading by 2030 will be attainable only with historically unprecedented progress. The high rate of “learning poverty” and slow progress in low- and middle-income countries is an early warning that all the ambitious SDG targets in education (and likely of social progress) are at risk. Based on this evidence, we suggest a new medium-term target to guide the World Bank’s work in low- and middle- income countries: cut learning poverty by at least half by 2030. This target, together with improved measurement of learning, can be as an evidence-based tool to accelerate progress to get all children reading by age 10.

For further details, please refer to https://thedocs.worldbank.org/en/doc/e52f55322528903b27f1b7e61238e416-0200022022/original/Learning-poverty-report-2022-06-21-final-V7-0-conferenceEdition.pdf

The Federal Poverty Level (FPL) is a measure of poverty issued every year by the US Department of Health and Human Services. The 2022 FPL thresholds for a family of four correspond to annual incomes of $27,750 (100% FPL), $55,500 (200% FPL), and $83,250 (300% FPL).The Federal Poverty Level is used to determine eligibility for certain programs and benefits. Across the US, including in Los Angeles County, children represent the largest age group of individuals experiencing poverty. While poverty exerts negative impacts across the lifespan, childhood poverty is of particular concern. Children living in poverty are not only at higher risk for developmental delays, chronic illness, lead exposure, and food and housing insecurity, but they are also more likely to experience poverty into adulthood, which perpetuates generational cycles of poverty.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Children Living in Poverty reports the share of children living in poverty, per race/ethnicity. Dimensions Year;Race;Measure Type Full Description The Census Bureau determines that a person is living in poverty when his or her total annual household income compared with the size and composition of the household is below the poverty threshold. The Census Bureau uses the federal government's official definition of poverty to determine the poverty threshold. Children are all persons under the age of 18 years. The American Community Survey (ACS) collects these data from a sample of households on a rolling monthly basis. ACS aggregates samples into one-, three-, or five-year periods. At this time only state-level annual data are available on CTdata.org. Town-level data aggregated from the five-year datasets (considered to be more accurate for geographic areas that are the size of a county or smaller) can be produced using Census tables currently available on the Census website.

This dataset tracks the updates made on the dataset "Poverty Rate (<200% FPL) and Child (under 18) Poverty Rate by California Regions" as a repository for previous versions of the data and metadata.

Office of Child Support Enforecment (OCSE) Story Behind the Numbers - Child Support Fact Sheet #3. This fact sheet focuses on data reported in a recent U.S. Census Bureau report, Custodial Mothers and Fathers and Their Child Support: 2011. The data reported are estimated based on a biennial survey of custodial parents, the Child Support Supplement to the Current Population Survey, March/April 2012, co-sponsored by the Office of Child Support Enforcement. The proportion of custodial parents living below poverty line continues to increase in 2011. The report found that 4.2 million custodial parents lived in poverty in 2011, representing 29 percent of all custodial parents, about twice the poverty rate for the total population. These statistics reinforce the essential role that child support services can play in helping low-income families, especially during an economic downturn.

The Alberta Survey program is a telephone conducted survey of Albertans, to collect data on specific determinants of health to support the creation of material and social deprivation indices, and assess their effects on health. This dataset contains individual level survey response details for the category Child Poverty Index (CPI) - Number of Items Lacking, along with a supporting document containing a column description for this dataset. Aggregate level datasets for select determinants based upon the ACHS are also available.

About the dataset This dataset uses information from the DWP benefit system to provide estimates of children living in poverty for wards in London. In order to be counted in this dataset, a family must have claimed Child Benefit and at least one other household benefit (Universal Credit, tax credits or Housing Benefit) during the year. The numbers are calibrated to the Households Below Average Income (HBAI) dataset used to provide the government's headline poverty statistics. The definition of relative low income is living in a household with equivalised* income before housing costs (BHC) below 60% of contemporary national median income. The income measure includes contributions from earnings, state support and pensions. Further detail on the estimates of dependent children living in relative low income, including alternative geographical breakdowns and additional variables, such as age of children, family type and work status are available from DWP's statistical tabulation tool Stat-Xplore. Minor adjustments to the data have been applied to guard against the identification of individual claimants. This dataset replaced the DWP children in out-of-work benefit households and HMRC children in low income families local measure releases. This dataset includes estimates for all wards in London of numbers of dependent children living in relative low income families for each financial year from 2014/15 to the latest available (2022/23). The figures for the latest year are provisional and are subject to minor revision when the next dataset is released by DWP. Headlines Number of children The number of dependent children living in relative low income across London, rose from below 310,000 in the financial year ending 2015 to over 420,000 in the financial year ending 2020, but has decreased since then to below 350,000, which is well below the number for financial year ending 2018. While many wards in London have followed a similar pattern, the numbers of children in low income families in some wards have fallen more sharply, while the numbers in other wards have continued to grow. Proportion of children in each London ward Ward population sizes vary across London, the age profile of that population also varies and both the size and make-up of the population can change over time, so in order to make more meaningful comparisons between wards or over time, DWP have also published rates, though see note below regarding caution when using these figures. A dependent child is anyone aged under 16; or aged 16 to 19 in full-time non-advanced education or in unwaged government training. Ward level estimates for the total number of dependent children are not available, so percentages cannot be derived. Ward level estimates for the percentage of children under 16 living in low income families are usually published by DWP but, in its latest release, ward-level population estimates were not available at the time, so no rates were published. To derive the rates in this dataset, the GLA has used the ONS's latest ward-level population estimates (official statistics in development). Percentages for 2021/22 are calculated using the 2021 mid year estimates, while percentages for 2022/23 are calculated using the 2022 mid year estimates. As these are official statistics in development, rates therefore need to be treated with some caution. Notes *equivalised income is adjusted for household size and composition in order to compare living standards between households of different types.

Global Poverty and Inequality Data

Source: Cross-National Data Center in Luxembourg - Income Study https://www.lisdatacenter.org/

Data Dictionary:

gini - Gini Coefficient atk5 - Atkinson Coefficient (epsilon=0.5) atk1 - Atkinson Coefficient (epsilon=1) d9010 - Percentile Ratio (90/10) d9050 - Percentile Ratio (90/50) d8020 - Percentile Ratio (80/20) poorAll4 - Relative Poverty Rates - Total Population (40%) poorAll5 - Relative Poverty Rates - Total Population (50%) poorAll6 - Relative Poverty Rates - Total Population (60%) poorK4 - Relative Poverty Rates - Children (40%) poorK5 - Relative Poverty Rates - Children (50%) poorK6 - Relative Poverty Rates - Children (60%) poorE4 - Relative Poverty Rates - Elderly (40%) poorE5 - Relative Poverty Rates - Elderly (50%) poorE6 - Relative Poverty Rates - Elderly (60%) d5075 - Distribution of Children by Income Group (50-75%) d75150 - Distribution of Children by Income Group (75-150%) d150 - Distribution of Children by Income Group (above 150%) poortp - Children Poverty Rates - Two-Parent Families (50%) poorsm - Children Poverty Rates - Single-Mother Families (50%) pkidsm - % Children Living in Single-Mother Families eymed - Median Equivalized Income average - Mean Equivalized Income

This dataset uses U.S. Census table B17020 - Poverty Status by Age The data shows the number of people per locality, the overall number of people living below the poverty level per locality, and then the number of people under age 18 living below the poverty level per locality. This last data element is broken down into three segments - aged <6 years, 6-11 years, and 12-17 years, which when added together equal the total number of children under age 18 living below the poverty level per locality.

Income Deprivation affecting Children Score and Rank from Indices of Multiple Deprivation 2007, by SOA. This score shows the proportion of children aged 0-15 years living in income deprived households. Low ranks denote greater levels of relative deprivation where 1 = most deprived SOA and 32,482 = least deprived SOA nationally. The ranks are colour coded to show the top 10% (red), 10-20% (orange), 20-30% (yellow) most deprived SOAs nationally.

The Alberta Survey program is a telephone conducted survey of Albertans, to collect data on specific determinants of health to support the creation of material and social deprivation indices, and assess their effects on health. This dataset contains individual level survey response details for the category Child Poverty Index (CPI) - Number of Items Lacking, along with a supporting document containing a column description for this dataset. Aggregate level datasets for select determinants based upon the ACHS are also available.