The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates

Title: Kids Count Data Center

Summary: The Annie E. Casey Foundation NM Kids Count Data Center, with socioeconomic data including data on food insecurity and social benefits. Query Page.

Notes:

Prepared by: Kids Count Data Center, URL uploaded by EMcRae_NMCDC

Source: This is a link from Kids Count Data Center basic query page, URL is https://datacenter.kidscount.org/data/#USA/1/0/char/0

Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=2b63101d72ff4d7783717ba8d60b5853

UID: 73, 98

Data Requested: Family income spent on basic need, and Food security by demo and socioeconomic status, and socioeconomic/population health, and NM Voices for Children data

Method of Acquisition: Linking to Kids Count Data Center webpage.

Date Acquired: Link was uploaded on May 9, 2022. Data is maintained by the Kids Count Data Center page.

Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

Tags: PENDING

Financial overview and grant giving statistics of Kids Count Foundation

Community-sourced fraud analysis for PPP Loan #4753527000

Care 4 Kids Active Provider Count By Town and Setting, Service Month October 2019

The typical American picture of a family with 2.5 kids might not be as relevant as it once was: In 2023, there was an average of 1.94 children under 18 per family in the United States. This is a decrease from 2.33 children under 18 per family in 1960.

Familial structure in the United States

If there’s one thing the United States is known for, it’s diversity. Whether this is diversity in ethnicity, culture, or family structure, there is something for everyone in the U.S. Two-parent households in the U.S. are declining, and the number of families with no children are increasing. The number of families with children has stayed more or less constant since 2000.

Adoptions in the U.S.

Families in the U.S. don’t necessarily consist of parents and their own biological children. In 2021, around 35,940 children were adopted by married couples, and 13,307 children were adopted by single women.

Around 6.8 million families had three or more children under 18 living in the household in 2023. In that same year, about 51.05 million households had no children under 18 living in the household.

Care 4 Kids Number of Paid Children by Provider Setting Type and by Town, October 2018. Includes All Ages. Numbers suppressed as shown by *. If Suppression in a row - the total in that row is suppressed by that count.

The numbers of children (duplicate count) are counted once for each investigation response or alternative response that reached a disposition (finding) for the most recent federal fiscal year for which data are available.

*11/29/2021: Added column including year in which data was collected.

To view more National Child Abuse and Neglect Data System (NCANDS) findings, click link to summary page below: https://healthdata.gov/stories/s/kaeg-w7jc

This chart counts the number of children in DFPS custody on August 31 of the fiscal year who meet all of the following criteria: (1) a court has terminated all parental rights; (2) the child has a plan of adoption; and (3) the child is not in an adoptive placement. The count includes both children who are in an intended to be permanent home and children who are not in an intended to be permanent home. Use the filter to isolate these counts. Children in DFPS custody are those for whom a court has appointed DFPS legal responsibility through temporary or permanent managing conservatorship or other court ordered legal basis. An adoptive placement occurs when the child's caseworker, the family's case manager, and the adoptive family sign paperwork officially placing the child in the home for adoption. Before the paperwork can be signed, a child must be free for adoption (meaning a court has terminated parental rights), have a permanency goal of adoption and the family must have been approved for adoption through a licensed child placing agency.

Number of children under age 21 in foster care as of July 1 of each year, by age group. This is a point-in-time, unduplicated count of children under the supervision of county welfare departments and excludes cases under the supervision of county probation departments, out-of-state agencies, state adoptions district offices, and Indian child welfare departments. The total by age group may not add up to total number of children in foster care due to missing values. U.S. totals reflect children in foster care as of Sept. 30 each year. N/A means that data are not available. Note: Although U.S. data are not available for children ages 1-2 and 3-5, data for children ages 1-5, combined, is available on KIDS COUNT. Data Source: Needell, B., et al. (May 2014). Child Welfare Services Reports for California, U.C. Berkeley Center for Social Services Research; U.S. data come from Child Trends analysis of Adoption and Foster Care Analysis and Reporting System data available through the National Data Archive on Child Abuse and Neglect, as cited on KIDS COUNT (May 2014). Retrieved on May 31, 2015.

Dataset examines families by the count of all children within the family as recorded for the 2016 and 2021 Census years. Australian Bureau of Statistics extracts from ABS Tablebuilder are used for the construction of the dataset.

Analysis of ‘Care 4 Kids (C4K) Number of Children by Town, October 2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/c45c1516-b598-421d-bcc1-de1b233c732f on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Care 4 Kids Number of Paid Children by Provider Setting Type and by Town, October 2018. Includes All Ages. Numbers suppressed as shown by *. If Suppression in a row - the total in that row is suppressed by that count.

--- Original source retains full ownership of the source dataset ---

No description available.

Dataset examines families by the count of non-dependent children as recorded for the 2016 and 2021 Census years. Australian Bureau of Statistics extracts from ABS Tablebuilder are used for the construction of the dataset.

This layer shows children by nativity of parents by age group. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the count and percentage of children who are in immigrant families (children who are foreign born or live with at least one parent who is foreign born). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B05009Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

In the second half of 2023, 89 children in Haiti were victims of gang violence. Of these, 53 cases occurred in the last quarter of the year.

This map shows children in poverty throughout the United States. It is shown as the count of children in poverty, and the percentage of children living under the Federal poverty level. This is shown by state, county, and tract geographies.The data shown is current-year American Community Survey (ACS) data from the US Census. The data is updated each year when the ACS releases its new 5-year estimates. For more information about this data, visit this page. For the most current national figures, visit data.census.gov.To learn more about when the ACS releases data updates, click here.

In 2024, YouTube Kids mobile app amassed 145 million downloads worldwide, up from the 123 million downloads of the previous year. Between 2016 and the end of 2024, the app experienced an increase in downloads.

This report includes data on the number of applications requested or restored and cases added during the month. This dataset is a selected subset of the entire report, available on the California Department of Social Services, Research and Data Reports (RADR) website at http://www.cdss.ca.gov/research/. CalWORKs is a welfare program that gives cash aid and services to eligible needy California families. The program serves all 58 counties in the state and is operated locally by county welfare departments. If a family has little or no cash and needs housing, food, utilities, clothing or medical care, they may be eligible to receive immediate short-term help. Families that apply and qualify for ongoing assistance receive benefits each month to help pay for housing, food and other necessary expenses. Monthly CalWORKs data is collected from the counties through submission of the CA 237CW CalWORKs Cash Grant Movement Report, which is used to report statistical information on CalWORKs caseload movement for Two Parent Families, Zero Parent Families, All Other Families, Temporary Assistance for Needy Families (TANF) Timed-Out Cases and Safety Net/Fleeing Felon/Long-Term Sanction Cases (SN/FF/LTS).

NOTE: The presence of "-999" in data cells indicates that the number of applications is too small to be displayed and has been suppressed in order to protect individual clients' confidentiality.

This layer shows children by age group by parents' labor force participation. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the count and percent of children with no available (residential) parent in the labor force. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B23008 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.