Retail Sales in the United States increased 0.60 percent in June of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Federal Debt: Total Public Debt (GFDEBTN) from Q1 1966 to Q1 2025 about public, debt, federal, government, and USA.

Last Updated on: Sun Jul 6 06:11:52 2025

Help us provide the most useful data by completing our ODP User Feedback Survey for Child and Adult Care Food Program (CACFP) Data

About the Dataset
This data set contains claims information for meal reimbursement for sites participating in CACFP as child centers for the program year 2024-2025. This includes Child Care Centers, At-Risk centers, Head Start sites, Outside School Hours sites, and Emergency Shelters . The CACFP program year begins October 1 and ends September 30.

This dataset only includes claims submitted by CACFP sites operating as child centers.Sites can participate in multiple CACFP sub-programs. Each record (row) represents monthly meals data for a single site and for a single CACFP center sub-program.

To filter data for a specific CACFP center Program, select "View Data" to open the Exploration Canvas filter tools. Select the program(s) of interest from the Program field. A filtering tutorial can be found HERE

For meals data on CACFP participants operating as Day Care Homes, Adult Day Care Centers, or child care centers for previous program years, please refer to the corresponding “Child and Adult Care Food Programs (CACFP) – Meal Reimbursement” dataset for that sub-program available on the State of Texas Open Data Portal.

An overview of all CACFP data available on the Texas Open Data Portal can be found at our TDA Data Overview - Child and Adult Care Food Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

More information about accessing and working with TDA data on the Texas Open Data Portal can be found on the SquareMeals.org website on the TDA Food and Nutrition Open Data page.

About Dataset Updates
TDA aims to post new program year data by December 15 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur daily until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and one year from the close of the program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency
The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Programs (CACFP), and the summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.
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Government Spending in the United States increased to 3995.10 USD Billion in the second quarter of 2025 from 3990.60 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Government Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

WildSage/dataset-2025-01-16 dataset hosted on Hugging Face and contributed by the HF Datasets community

For the fiscal year of 2025, mandatory government spending is predicted to sum up to about 4.37 trillion U.S. dollars. It consists primarily of benefit programs such as: social security, Medicare, Medicaid, as well as other programs. Discretionary spending consists of spending controlled by lawmakers through annual appropriation acts. In FY 2025 it is proposed at 1.93 trillion U.S. dollars, and is divided into defense and nondefense spending. Spending for net interest is also listed, which consists of the government's interest payments on debt held by the public, offset by interest income the government receives.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

This data release contains the U.S. salient statistics and world production data extracted from the LEAD data sheet of the USGS Mineral Commodity Summaries 2025.

Graph and download economic data for All Employees, Federal (CES9091000001) from Jan 1939 to Jun 2025 about establishment survey, federal, government, employment, and USA.

Data is used to identify the zoning for the High School grades.

The Pioneer Array is located on the continental shelf and slope south of Martha's Vineyard. The shelf-slope area is home to a highly productive ecosystem, and coincident with a persistent ocean frontal system where heat, salt, nutrients and other properties are exchanged between the shelf and the deep ocean. Data from gliders operating over the shelf contribute to understanding of the frontal system while those over the slope provide information about mesoscale features that may impinge on the front. This dataset contains raw Slocum glider data parsed directly from the native glider file format. No corrections or other quality control algorithms have been applied.

Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States U.S. Dollar Index: Futures: Open data was reported at 100.690 Mar1973=100 in Apr 2025. This records a decrease from the previous number of 104.086 Mar1973=100 for Mar 2025. United States U.S. Dollar Index: Futures: Open data is updated monthly, averaging 93.525 Mar1973=100 from Nov 1985 (Median) to Apr 2025, with 474 observations. The data reached an all-time high of 126.074 Mar1973=100 in Dec 1985 and a record low of 72.360 Mar1973=100 in Apr 2008. United States U.S. Dollar Index: Futures: Open data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.

This dataset provides values for INFLATION RATE US reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Dataset of 700,000 restaurants in the United States complete with detailed contact and geolocation data. The database includes multiple data points such as restaurant name, address, phone number, website, email, opening hours, latitude, longitude, and cuisine.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Los Angeles County. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Los Angeles County. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Los Angeles County, householders within the 45 to 64 years age group have the highest median household income at $99,047, followed by those in the 25 to 44 years age group with an income of $95,037. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $62,342. Notably, householders within the under 25 years age group, had the lowest median household income at $51,444.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Los Angeles County median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Charlotte: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 18,057(5%) households where the householder is under 25 years old, 158,749(43.96%) households with a householder aged between 25 and 44 years, 124,744(34.55%) households with a householder aged between 45 and 64 years, and 59,550(16.49%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Charlotte, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Charlotte median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Mexico. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Mexico. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Mexico, householders within the under 25 years age group have the highest median household income at $73,841, followed by those in the 25 to 44 years age group with an income of $70,221. Meanwhile householders within the 45 to 64 years age group report the second lowest median household income of $68,958. Notably, householders within the 65 years and over age group, had the lowest median household income at $68,523.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mexico median household income by age. You can refer the same here

The Pioneer Array is located on the continental shelf and slope south of Martha's Vineyard. The shelf-slope area is home to a highly productive ecosystem, and coincident with a persistent ocean frontal system where heat, salt, nutrients and other properties are exchanged between the shelf and the deep ocean. Data from gliders operating over the shelf contribute to understanding of the frontal system while those over the slope provide information about mesoscale features that may impinge on the front. This dataset contains raw Slocum glider data parsed directly from the native glider file format. No corrections or other quality control algorithms have been applied.