35 datasets found
  1. State Fact Sheets

    • agdatacommons.nal.usda.gov
    • datadiscoverystudio.org
    • +4more
    bin
    Updated Oct 1, 2024
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    USDA Economic Research Service (2024). State Fact Sheets [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/State_Fact_Sheets/25696614
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    binAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    USDA Economic Research Service
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool For complete information, please visit https://data.gov.

  2. USDA -Food Access

    • datalumos.org
    Updated Feb 19, 2018
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    United States Department of Agriculture. Economic Research Service (2018). USDA -Food Access [Dataset]. http://doi.org/10.3886/E101441V1
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    Dataset updated
    Feb 19, 2018
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    United States Department of Agriculture. Economic Research Service
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2015
    Area covered
    United States
    Description

    Limited access to supermarkets, supercenters, grocery stores, or other sources of healthy and affordable food may make it harder for some Americans to eat a healthy diet. Expanding the availability of nutritious and affordable food by developing and equipping grocery stores, small retailers, corner markets and farmers’ markets in communities with limited access is an important part of the Healthy Food Financing Initiative. There are many ways to define which areas are considered "food deserts" and many ways to measure food store access for individuals and for neighborhoods. Most measures and definitions take into account at least some of the following indicators of access:

    • Accessibility to sources of healthy food, as measured by distance to a store or by the number of stores in an area.
    • Individual-level resources that may affect accessibility, such as family income or vehicle availability.
    • Neighborhood-level indicators of resources, such as the average income of the neighborhood and the availability of public transportation.

    In the Food Access Research Atlas, several options are available to describe food access along these dimensions. The Food Access Research Atlas presents a spatial overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility. It provides food access data for populations within census tracts and offers census-tract-level data on food access that can be downloaded for community planning or research purposes. This Atlas can be used to create maps showing food access indicators by census tract using different measures and indicators of supermarket accessibility. It can be used to compare food access measures based on 2015 data with the previous 2010 measures, view indicators of food access for selected subpopulations, and download census-tract-level data on food access measures.

  3. School Breakfast Program - Participation and Meals Served

    • agdatacommons.nal.usda.gov
    xls
    Updated Feb 16, 2024
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    USDA, Food and Nutrition Service (FNS) (2024). School Breakfast Program - Participation and Meals Served [Dataset]. http://doi.org/10.15482/USDA.ADC/1297868
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    xlsAvailable download formats
    Dataset updated
    Feb 16, 2024
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Food and Nutrition Servicehttps://www.fns.usda.gov/
    Authors
    USDA, Food and Nutrition Service (FNS)
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data provides historical summaries of total participation and meals served as part of the USDA's Food and Nutrition Service (FNS) School Breakfast Program. The summary data begins in 1969, the year that FNS was established to administer USDA's nutrition assistance program. The School Breakfast Program is a federally assisted meal program operating in public and nonprofit private schools and residential child care institutions. It began as a pilot project in 1966, and was made permanent in 1975. The School Breakfast Program is administered at the Federal level by the Food and Nutrition Service. At the State level, the program is usually administered by State education agencies, which operate the program through agreements with local school food authorities in more than 89,000 schools and institutions. School districts and independent schools that choose to take part in the breakfast program receive cash subsidies from the USDA for each meal they serve. In return, they must serve breakfasts that meet Federal requirements, and they must offer free or reduced price breakfasts to eligible children. Any child at a participating school may purchase a meal through the School Breakfast Program. Children from families with incomes at or below 130 percent of the Federal poverty level are eligible for free meals. Those with incomes between 130 percent and 185 percent of the poverty level are eligible for reduced-price meals. Resources in this dataset:Resource Title: School Breakfast Participation and Meals Served Data. File Name: sbsummar.xlsResource Description: Data are provided by federal fiscal year rather than calendar or school year. This includes the months of October through September. The total participation numbers for this data is based on a nine month average: October - May plus September.Resource Title: School Breakfast Participation and Meals Served Data. File Name: SchoolBreakfasts2.csvResource Description: Data are provided by federal fiscal year rather than calendar or school year. This includes the months of October through September. The total participation numbers for this data is based on a nine month average: October - May plus September. Participation and meals served numbers are counted in millions, and the free/reduced price meals is a percentage of total meals. 2] in the reduced price column indicates that these numbers were included with the free participation numbers. Resource Title: Data Dictionary. File Name: Data Dictionary_SchoolBreakfastParticipationMealsServed.csv

  4. USDA Census of Agriculture 2022 - Government Programs

    • usdadatalibrary-lnr.hub.arcgis.com
    Updated Apr 18, 2024
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    Esri (2024). USDA Census of Agriculture 2022 - Government Programs [Dataset]. https://usdadatalibrary-lnr.hub.arcgis.com/datasets/esri::usda-census-of-agriculture-2022-government-programs
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    Dataset updated
    Apr 18, 2024
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Census of Agriculture, produced by the United States Department of Agriculture (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2022, and provides an in-depth look at the agricultural industry.This layer was produced from data obtained from the USDA National Agriculture Statistics Service (NASS) Large Datasets download page. The data were transformed and prepared for publishing using the Pivot Table geoprocessing tool in ArcGIS Pro and joined to county boundaries. The county boundaries are 2022 vintage and come from Living Atlas ACS 2022 feature layers.Dataset SummaryPhenomenon Mapped: 2022 Government ProgramsCoordinate System: Web Mercator Auxiliary SphereExtent: 48 Contiguous United States, Alaska, and HawaiiSource: USDA National Agricultural Statistics ServicePublication Date: 2022AttributesNote that some values are suppressed as "Withheld to avoid disclosing data for individual operations", "Not applicable", or "Less than half the rounding unit". These have been coded in the data as -999, -888, and -777 respectively.Govt Programs, Federal - Operations With ReceiptsGovt Programs, Federal - Receipts, Measured In US Dollars ($) / OperationGovt Programs, Federal - Receipts, Measured In US Dollars ($)Govt Programs, Federal, (Excl Conservation & Wetlands) - Operations With ReceiptsGovt Programs, Federal, (Excl Conservation & Wetlands) - Receipts, Measured In US Dollars ($) / OperationGovt Programs, Federal, (Excl Conservation & Wetlands) - Receipts, Measured In US Dollar ($)Govt Programs, Federal, Conservation & Wetlands - AcresGovt Programs, Federal, Conservation & Wetlands - Number Of OperationsGovt Programs, Federal, Conservation & Wetlands - Operations With ReceiptsGovt Programs, Federal, Conservation & Wetlands - Receipts, Measured In US Dollars ($) / OperationGovt Programs, Federal, Conservation & Wetlands - Receipts, Measured In US Dollars ($) In Alaska, one or more county-equivalent entities (borough, census area, city, municipality) are included in an agriculture census area.

  5. g

    Farm Household Income and Characteristics

    • data.globalchange.gov
    • datasets.ai
    • +4more
    Updated Aug 31, 2016
    + more versions
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    (2016). Farm Household Income and Characteristics [Dataset]. https://data.globalchange.gov/dataset/usda-ers-00064
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    Dataset updated
    Aug 31, 2016
    Description

    This data product presents the latest household income forecast and estimates for U.S. family farms.

  6. 2012 Census of Agriculture - Web Maps

    • agdatacommons.nal.usda.gov
    bin
    Updated Feb 9, 2024
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    USDA National Agricultural Statistics Service (2024). 2012 Census of Agriculture - Web Maps [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/2012_Census_of_Agriculture_-_Web_Maps/24660828
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    binAvailable download formats
    Dataset updated
    Feb 9, 2024
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    United States Department of Agriculturehttp://usda.gov/
    Authors
    USDA National Agricultural Statistics Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them. Conducted by USDA's National Agricultural Statistics Service, the 2012 Census of Agriculture collected more than six million data items directly from farmers. The Ag Census Web Maps application makes this information available at the county level through a few clicks. The maps and accompanying data help users visualize, download, and analyze Census of Agriculture data in a geospatial context. Resources in this dataset:Resource Title: Ag Census Web Maps. File Name: Web Page, url: https://www.nass.usda.gov/Publications/AgCensus/2012/Online_Resources/Ag_Census_Web_Maps/Overview/index.php/ The interactive map application assembles maps and statistics from the 2012 Census of Agriculture in five broad categories:

    Crops and Plants – Data on harvested acreage for major field crops, hay, and other forage crops, as well as acreage data for vegetables, fruits, tree nuts, and berries. Economics – Data on agriculture sales, farm income, government payments from conservation and farm programs, amounts received from loans, a broad range of production expenses, and value of buildings and equipment. Farms – Information on farm size, ownership, and Internet access, as well as data on total land in farms, land use, irrigation, fertilized cropland, and enrollment in crop insurance programs. Livestock and Animals – Statistics on cattle and calves, cows and heifers, milk cows, and other cattle, as well as hogs, sheep, goats, horses, and broilers. Operators – Statistics on hired farm labor, tenure, land rented or leased, primary occupation of farm operator, and demographic characteristics such as age, sex, race/ethnicity, and residence location.

    The Ag Census Web Maps application allows you to:

    Select a map to display from a the above five general categories and associated subcategories. Zoom and pan to a specific area; use the inset buttons to center the map on the continental United States; zoom to a specific state; and show the state mask to fade areas surrounding the state. Create and print maps showing the variation in a single data item across the United States (for example, average value of agricultural products sold per farm). Select a county and view and download the county’s data for a general category. Download the U.S. county-level dataset of mapped values for all categories in Microsoft ® Excel format.

  7. Farm Income and Wealth Statistics

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Jan 3, 2024
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    Economic Research Service, Department of Agriculture (2024). Farm Income and Wealth Statistics [Dataset]. https://catalog.data.gov/dataset/farm-income-and-wealth-statistics
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    Dataset updated
    Jan 3, 2024
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Description

    Estimates of farm sector income with component accounts for the United States and for States.

  8. Examining the Growth of Zero-Income SNAP Caseload: Characteristics,...

    • catalog.data.gov
    Updated Nov 10, 2020
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    Food and Nutrition Service (2020). Examining the Growth of Zero-Income SNAP Caseload: Characteristics, Circumstances, and Dynamics of Zero-Income SNAP Participants [Dataset]. https://catalog.data.gov/dataset/examining-the-growth-of-zero-income-snap-caseload-characteristics-circumstances-and-dynami
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    Food and Nutrition Servicehttps://www.fns.usda.gov/
    Description

    This study describes the characteristics, circumstances, and participation and income dynamics of zero-income SNAP households and seeks to assess whether economic and policy changes may have affected this growth.

  9. Global Starter Fertilizer Market Report 2025 Edition, Market Size, Share,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jul 14, 2024
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    Cognitive Market Research (2024). Global Starter Fertilizer Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/starter-fertilizer-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 14, 2024
    Dataset provided by
    Decipher Market Research
    Authors
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, The Starter Fertilizers Market will be USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031. North America held the major market share for more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX % from 2024 to 2031. The Asia Pacific region is the fastest-growing market with a CAGR of XX% from 2024 to 2031 and it is projected that it will grow at a CAGR of XX% in the future. Europe accounted for a market share of over XX% of the global revenue with a market size of USD XX million. Latin America had a market share for more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. Middle East and Africa had a market share of around XX% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. The Starter Fertilizers Market held the highest market revenue share in 2024. Market Dynamics of the Starter Fertilizers Market

    Key Drivers for The Starter Fertilizers Market

    The market for starter fertilizers is having a growing impact on meeting the world's rising food demand.
    

    In the future, the market for starter fertilizers is anticipated to increase at the lead of the increasing need for food. Starter fertilizers are sprayed on crops because they help startling grow faster by providing vital nutrients in easily accessible areas close to the roots, improving nutrient uptake efficiency, reducing nutrient losses to the environment, and improving the overall health and vigor of the crop, all of which raise food productivity. For instance, in July 2021, A Berlin-based journal publisher called Springer Nature Group reported that between 2010 and 2050, there would be a 35% to 56% rise in the overall world food demand. Moreover, the US government agency USDA Economic Research Service reports that in 2021, the food, agricultural, and associated sectors generated 5.4 percent of the country's GDP. Thus, the market for starter fertilizers is driven by the rising need for food. Source:(https://link.springer.com/article/10.1007/s11625-022-01193-0) Thus, the increasing demand for starter fertilizers is driven by the global necessity to enhance food production, reflecting a growing reliance on these products to meet rising agricultural needs worldwide.

    Government-initiated farm projects driving market growth for starter fertilizers
    

    Growing government support for the agriculture industry is anticipated to fuel the market for starter fertilizers' future expansion. Government initiatives are plans, policies, or programs that the government introduces and puts into effect in order to address certain problems or accomplish particular social objectives. Government programs that assist agriculture can influence demand, foster innovation, and encourage the use of contemporary agricultural techniques, all of which can foster an atmosphere that is favorable to the expansion of the market for starter fertilizers. For instance, in 2023, The USDA Science and Research Strategy, 2023–2026, published by the US Department of Agriculture, a US government organization, A strategy called Cultivating Scientific Innovation was unveiled by the US Department of Agriculture (USDA) to change US agriculture via research and innovation. It lists the top scientific goals in the field. By 2050, the strategy hopes to reduce US agriculture's environmental impact in half while increasing agricultural output by 40%. The market for starter fertilizers is thus expanding as a result of growing government efforts for the agriculture sector. Source:(https://www.usda.gov/sites/default/files/documents/usda-science-research-strategy.pdf) Thus, Government-led agricultural initiatives are fostering market growth for starter fertilizers by implementing farm projects that emphasize the importance of nutrient management and soil health, thus driving demand for these products.

    Restraint Factor for The Starter fertilizers Market

    Financial pressures restrain starter fertilizers market
    

    The costs of the raw elements nitrogen, phosphorus, and potassium (NPK), which are used to make starter fertili...

  10. c

    Global Planting Equipment Market Report 2025 Edition, Market Size, Share,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 15, 2024
    + more versions
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    Cognitive Market Research (2024). Global Planting Equipment Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/planting-equipment-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 15, 2024
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive market research, the Global Planting Equipment Market is expected to have a market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.

    The Asia-Pacific region is expected to have the largest market share with an expected market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.
    The Europe region is the fastest growing with an expected market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.
    The seed drills are expected to have the largest market share with an expected market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.
    The mechanical segment is expected to have the largest market share with an expected market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.
    The Cereals and Grains segment is expected to have the largest market share with an expected market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.
    

    Market Dynamics

    Key Drivers

    The various government schemes and policies are factoring the market growth
    

    Governments from all over the world are aggressively starting a range of programs to give farmers in developing areas financial support, making it easier for them to acquire necessary equipment and raw materials. The total productivity and efficiency of the agriculture industry are the goals of these programs. The 54 countries studied, including all OECD and EU nations as well as 12 significant emerging economies, implemented support policies that, according to the most recent edition of the OECD's annual Agricultural Policy Monitoring and Evaluation report, which was released in June 2020, provided an average of USD 536 billion (EUR 469 billion) in direct support to farmers between 2017 and 2019. For instance, in light of the aforementioned, the Government of India launched the "Sub Mission on Agricultural Mechanisation (SMAM)" in 2014–15 as a specific initiative aimed at increasing farm mechanization in the nation. By establishing Custom Hiring Centres (CHCs), Hubs for high-tech and valuable farm equipment, and Farm Machinery Banks, the program seeks to "reach the unreached" by providing small and marginal farmers (SMFs) with inexpensive access to farm machinery. Another activity under the initiative is the distribution of various subsidized agricultural equipment and equipment to individual farmers. Another instance is of England where beginning from January 2022, farmers and growers in England may apply for up to £500,000 in government funds to invest in state-of-the-art robotics and technology to enhance food output. Up to £500,000 in grants can be used to purchase productivity-enhancing machinery such as automated milking systems, robots for spraying, harvesting, and harvesting, and driverless tractors. Moreover, in France, the government offered $10 billion (EUR 9 billion) to the agrarian community to help them purchase equipment and advanced software that can automate many of the manual agricultural tasks. Furthermore, according to information released in August 2022 by the Agriculture Secretary, the U.S. Department of Agriculture (USDA) will invest $300 million, including funds from the American Rescue Plan, in a new organic transition initiative that will help create new and better markets and income streams for farmers and producers. In addition to immediate support in the form of funding for conservation measures and enhanced crop insurance aid, the project will offer complete technical support, including farmer-to-farmer mentorship. (Source- https://www.usda.gov/media/press-releases/2022/08/22/usda-invest-300-million-new-organic-transition-initiative, https://www.oecd.org/agriculture/topics/agricultural-policy-monitoring-and-evaluation/, https://www.gov.uk/government/news/25-million-funding-for-high-tech-machinery-on-farms)

    Technological progress globally is fuelling the market growth
    

    Modern, automated planting equipment has been made possible by technological developments in the field of planting equipment as well as an increase in the mechanization of numerous agricultural processes. Due to the expanding human population and the ensuing need for increased production to meet the world's food needs, the market is seeing significant global growth. The primary driver...

  11. K

    Income - Per capita Income in the past 12 months (In 2014 inflation adjusted...

    • koordinates.com
    csv, dwg, geodatabase +6
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    ers.usda.gov, Income - Per capita Income in the past 12 months (In 2014 inflation adjusted dollars), 2010-14 [Dataset]. https://koordinates.com/layer/11272-income-per-capita-income-in-the-past-12-months-in-2014-inflation-adjusted-dollars-2010-14/
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    mapinfo tab, shapefile, kml, geopackage / sqlite, csv, mapinfo mif, pdf, dwg, geodatabaseAvailable download formats
    Dataset provided by
    ers.usda.gov
    Area covered
    Description

    {"definition": "Household income earned during the previous 12 months, in 2014 inflation-adjusted dollars, divided by the county population", "availableYears": "2010-2014", "name": "Per capita Income in the past 12 months (In 2014 inflation adjusted dollars), 2010-14", "units": "Dollars", "shortName": "PerCapitaInc", "geographicLevel": "County", "dataSources": "U.S. Census Bureau, American Community Survey"}

    © PerCapitaInc This layer is sourced from gis.ers.usda.gov.

  12. Children Eligible for Free or Reduced-Price Lunch

    • data.amerigeoss.org
    esri rest, html
    Updated Jun 28, 2019
    + more versions
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    ESRI (2019). Children Eligible for Free or Reduced-Price Lunch [Dataset]. https://data.amerigeoss.org/ja/dataset/children-eligible-for-free-or-reduced-price-lunch
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    html, esri restAvailable download formats
    Dataset updated
    Jun 28, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Description
    This map shows the count and percent of children eligible for free or reduced-price lunch through the National School Lunch Program for school year 2016-2017. Map is multi-scale, displaying data at both state and county levels.

    Data come from the County Health Rankings (layers referenced below) data set that references the National Center for Education Statistics (NCES), 2016-2017 school year as the original source.

    Participating schools get federal funds for reimbursement for every lunch served to low-income students who participate in the program. The US. Dept. of Agriculture's (USDA's) Food and Nutrition Service administers the reimbursements. School meals are required to meet specific nutrition standards to operate the school meals program. Specific Income Eligibility Guidelines and FAQs are published by the USDA, but generally children qualify for free lunch if their household income is 130% of the Federal Poverty Level or below, and reduced-price lunch if their household income is between 131% and 185% of the Federal Poverty Level.

    For more information and data about children eligible for free or reduced-price lunch, see the NCES site.
  13. d

    USDA Rural Development Multifamily Section 515 Rural Rental Housing and...

    • datadiscoverystudio.org
    • s.cnmilf.com
    • +3more
    csv, pdf
    Updated Oct 18, 2016
    + more versions
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    USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Property Characteristics. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/57c6e0e576344b62a6c980fa67fee4bf/html
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    pdf, csvAvailable download formats
    Dataset updated
    Oct 18, 2016
    Description

    description: Property locations and characteristics for USDA Rural Development Multifamily Direct Loan programs: Section 515 Rural Rental Housing and Section 514 Farm Labor Housing. Includes latitude and longitude coordinates, property address, type of development, date of operation, profit type, management agent, loan program identifier, Low Income Housing Tax Credit identifier and expiration date, Multifamily Preservation and Revitalization program identifier, total units, USDA Section 521 rental assistance units, units by bedroom size, and vacant units.; abstract: Property locations and characteristics for USDA Rural Development Multifamily Direct Loan programs: Section 515 Rural Rental Housing and Section 514 Farm Labor Housing. Includes latitude and longitude coordinates, property address, type of development, date of operation, profit type, management agent, loan program identifier, Low Income Housing Tax Credit identifier and expiration date, Multifamily Preservation and Revitalization program identifier, total units, USDA Section 521 rental assistance units, units by bedroom size, and vacant units.

  14. K

    Income - Deep poverty, 2010-14

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Apr 1, 2016
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    ers.usda.gov (2016). Income - Deep poverty, 2010-14 [Dataset]. https://koordinates.com/layer/11270-income-deep-poverty-2010-14/
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    geopackage / sqlite, shapefile, mapinfo mif, geodatabase, mapinfo tab, csv, pdf, kml, dwgAvailable download formats
    Dataset updated
    Apr 1, 2016
    Dataset provided by
    ers.usda.gov
    Area covered
    Description

    {"definition": "Percent of county population living in families with income below half of one poverty threshold", "availableYears": "2008-2012", "name": "Deep poverty, 2010-14", "units": "Percent", "shortName": "Deep_Pov_All", "geographicLevel": "County", "dataSources": "U.S. Census Bureau, American Community Survey"}

    © Deep_Pov_All This layer is sourced from gis.ers.usda.gov.

  15. IRA Low-Income Community Bonus Credit Program Layers

    • s.cnmilf.com
    • data.openei.org
    • +1more
    Updated Jan 12, 2025
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    Office of Economic Impact & Diversity US Department of Energy (2025). IRA Low-Income Community Bonus Credit Program Layers [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/ira-low-income-community-bonus-credit-program-layers-3d4e4
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    Dataset updated
    Jan 12, 2025
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Description

    These geospatial data resources and the linked mapping tool below reflect currently available data on three categories of potentially qualifying Low-Income communities: 1) Census tracts that meet the CDFI's New Market Tax Credit Program's threshold for Low Income, thereby are able to apply to Category 1. 2) Census tracts that meet the White House's Climate and Economic Justice Screening Tool's threshold for disadvantage in the 'Energy' category, thereby are able to apply for Additional Selection Criteria Geography. 3) Counties that meet the USDA's threshold for Persistent Poverty, thereby are able to apply for Additional Selection Criteria Geography. Note that Category 2 - Indian Lands are not shown on this map. Note that Persistent Poverty is not calculated for US Territories. Note that CEJST Energy disadvantage is not calculated for US Territories besides Puerto Rico. The excel tool provides the land area percentage of each 2023 census tract meeting each of the above categories. To examine geographic eligibility for a specific address or latitude and longitude, visit the program's mapping tool. Additional information on this tax credit program can be found on the DOE Landing Page for the 48e program at https://www.energy.gov/diversity/low-income-communities-bonus-credit-program or the IRS Landing Page at https://www.irs.gov/credits-deductions/low-income-communities-bonus-credit. Maps last updated: September 1st, 2024 Next map update expected: December 7th, 2024 Disclaimer: The spatial data and mapping tool is intended for geolocation purposes. It should not be relied upon by taxpayers to determine eligibility for the Low-Income Communities Bonus Credit Program. Source Acknowledgements: 1. The New Market Tax Credit (NMTC) Tract layer using data from the 2016-2020 ACS is from the CDFI Information Mapping System (CIMS) and is created by the U.S. Department of Treasury Community Development Financial Institutions Fund. To learn more, visit CDFI Information Mapping System (CIMS) | Community Development Financial Institutions Fund (cdfifund.gov). https://www.cdfifund.gov/mapping-system. Tracts are displayed that meet the threshold for the New Market Tax Credit Program. 2. The 'Energy' Category Tract layer from the Climate and Economic Justice Screening Tool (CEJST) is created by the Council on Environmental Quality (CEQ) within the Executive Office of the President. To learn more, visit https://screeningtool.geoplatform.gov/en/. Tracts are displayed that meet the threshold for the 'Energy' Category of burden. I.e., census tracts that are at or above the 90th percentile for (energy burden OR PM2.5 in the air) AND are at or above the 65th percentile for low income. 3. The Persistent Poverty County layer is created by joining the U.S. Department of Agriculture, Economic Research Service's Poverty Area Official Measures dataset, with relevant county TIGER/Line Shapefiles from the US Census Bureau. To learn more, visit https://www.ers.usda.gov/data-products/poverty-area-measures/. Counties are displayed that meet the thresholds for Persistent Poverty according to 'Official' USDA updates. i.e. areas with a poverty rate of 20.0 percent or more for 4 consecutive time periods, about 10 years apart, spanning approximately 30 years (baseline time period plus 3 evaluation time periods). Until Dec 7th, 2024 both the USDA estimates using 2007-2011 and 2017-2021 ACS 5-year data. On Dec 8th, 2024, only the USDA estimates using 2017-2021 data will be accepted for program eligibility.

  16. Low-Income Community Bonus Credit Program

    • zenodo.org
    bin, gif, html, txt +1
    Updated Mar 21, 2025
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    Zenodo (2025). Low-Income Community Bonus Credit Program [Dataset]. http://doi.org/10.5281/zenodo.15061838
    Explore at:
    zip, bin, gif, txt, htmlAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IRA Low-Income Community Bonus Credit Program Layers

    These geospatial data resources and the linked mapping tool below reflect currently available data on three categories of potentially qualifying Low-Income communities:

    1. Census tracts that meet the CDFI's New Market Tax Credit Program's threshold for Low Income, thereby are able to apply to Category 1.
    2. Census tracts that meet the White House's Climate and Economic Justice Screening Tool's threshold for disadvantage in the 'Energy' category, thereby are able to apply for Additional Selection Criteria Geography.
    3. Counties that meet the USDA's threshold for Persistent Poverty, thereby are able to apply for Additional Selection Criteria Geography.

    Note that Category 2 - Indian Lands are not shown on this map. Note that Persistent Poverty is not calculated for US Territories. Note that CEJST Energy disadvantage is not calculated for US Territories besides Puerto Rico.

    The excel tool provides the land area percentage of each 2023 census tract meeting each of the above categories. To examine geographic eligibility for a specific address or latitude and longitude, visit the program's mapping tool.

    Additional information on this tax credit program can be found on the DOE Landing Page for the 48e program at https://www.energy.gov/diversity/low-income-communities-bonus-credit-program or the IRS Landing Page at https://www.irs.gov/credits-deductions/low-income-communities-bonus-credit.

    Maps last updated: September 1st, 2024
    Next map update expected: December 7th, 2024

    Disclaimer: The spatial data and mapping tool is intended for geolocation purposes. It should not be relied upon by taxpayers to determine eligibility for the Low-Income Communities Bonus Credit Program.

    Source Acknowledgements:

    1. The New Market Tax Credit (NMTC) Tract layer using data from the 2016-2020 ACS is from the CDFI Information Mapping System (CIMS) and is created by the U.S. Department of Treasury Community Development Financial Institutions Fund. To learn more, visit CDFI Information Mapping System (CIMS) | Community Development Financial Institutions Fund (cdfifund.gov). https://www.cdfifund.gov/mapping-system. Tracts are displayed that meet the threshold for the New Market Tax Credit Program.
    2. The 'Energy' Category Tract layer from the Climate and Economic Justice Screening Tool (CEJST) is created by the Council on Environmental Quality (CEQ) within the Executive Office of the President. To learn more, visit https://screeningtool.geoplatform.gov/en/. Tracts are displayed that meet the threshold for the 'Energy' Category of burden. I.e., census tracts that are at or above the 90th percentile for (energy burden OR PM2.5 in the air) AND are at or above the 65th percentile for low income.
    3. The Persistent Poverty County layer is created by joining the U.S. Department of Agriculture, Economic Research Service's Poverty Area Official Measures dataset, with relevant county TIGER/Line Shapefiles from the US Census Bureau. To learn more, visit https://www.ers.usda.gov/data-products/poverty-area-measures/. Counties are displayed that meet the thresholds for Persistent Poverty according to 'Official' USDA updates. i.e. areas with a poverty rate of 20.0 percent or more for 4 consecutive time periods, about 10 years apart, spanning approximately 30 years (baseline time period plus 3 evaluation time periods). Until Dec 7th, 2024 both the USDA estimates using 2007-2011 and 2017-2021 ACS 5-year data. On Dec 8th, 2024, only the USDA estimates using 2017-2021 data will be accepted for program eligibility.

  17. K

    Low income preschool obesity rate, 2009 11

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 23, 2016
    + more versions
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    Low income preschool obesity rate, 2009 11 [Dataset]. https://koordinates.com/layer/11065-low-income-preschool-obesity-rate-2009-11/
    Explore at:
    mapinfo tab, mapinfo mif, kml, pdf, csv, geopackage / sqlite, shapefile, geodatabase, dwgAvailable download formats
    Dataset updated
    Aug 23, 2016
    Dataset provided by
    ers.usda.gov
    Area covered
    Description

    Geospatial data about Low income preschool obesity rate, 2009 11. Export to CAD, GIS, PDF, CSV and access via API.

  18. Global Pig Farming Market Report 2025 Edition, Market Size, Share, CAGR,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
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    Cognitive Market Research (2025). Global Pig Farming Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/pig-farming-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    Decipher Market Research
    Authors
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Pig Farming market size is USD 3151.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 2.30% from 2024 to 2031. North America held the major market of more than 40% of the global revenue with a market size of USD 1260.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 0.5% from 2024 to 2031. Europe accounted for a share of over 30% of the global market size of USD 945.36 million. Asia Pacific held the market of around 23% of the global revenue with a market size of USD 724.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.3% from 2024 to 2031. Latin America market of more than 5% of the global revenue with a market size of USD 157.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 1.7% from 2024 to 2031. Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 63.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.0% from 2024 to 2031. The commercial breeds held the highest Pig Farming market revenue share in 2024. Market Dynamics of Pig Farming Market Key Drivers for Pig Farming Market Increasing Demand for Pork to Propel the Market Revenue Growth The demand for pork, a major source of protein in many diets, has increased due to the expanding worldwide population, especially in emerging economies. Urbanization, shifting food tastes, and growing disposable incomes are some of the causes driving this demand. For instance, according to the U.S. Department of Agriculture, a higher-than-expected February production led to a 30 million increase in the first-quarter commercial pork production to 7.2 billion pounds. It is anticipated that 27.9 billion pounds of commercial pork would be produced in 2024, a 2.2% increase over the previous year. It is predicted that the average live price of 51–52 percent lean pigs will be $61 per cwt, which is 3.7% more than in 2023. Due to increased demand from significant importing nations and declining EU pork competitiveness as a result of higher prices and decreased supply, pork exports are expected to increase by 50 million pounds by 2024. Pork exports are predicted to total 7.1 billion pounds in 2024, 4.6 percent more than shipments from the previous year. Source: https://www.ers.usda.gov/topics/animal-products/hogs-pork/market-outlook/. Rising Food Demand to Propel Market Growth The growing food demand is expected to drive the pig farming market during the forecast period. The world's population is continually increasing, and with it, the demand for food rises. As more people require sustenance, there's a proportional increase in the demand for protein sources like pork. As per the report published by Food and Agriculture Organization, between 2009 and 2050, the world's population is predicted to increase by more than a third, or 2.3 billion people. Based on the forecasts, it would be necessary to increase global food production by around 70% between 2005/07 and 2050 to feed the 9.1 billion people that will live the planet by then. Source: https://www.fao.org/fileadmin/templates/wsfs/docs/Issues_papers/HLEF2050_Global_Agriculture.pdf Restraint Factor for the Pig Farming Market Environmental Concerns to Limit the Expansion of the Market Negative effects of pig farming on the environment can include waste disposal and nutrient runoff polluting the air, soil, and water resources. Pig farmers may face difficulties due to worries about environmental sustainability and pressure from regulations to mitigate these effects, especially if they operate in highly populated or environmentally sensitive areas. According to the study by New Root Institute, a large pig farm has the capacity to produce up to 1.6 million tons of manure annually. These enormous amounts can be difficult to handle, and manure can find its way into the surrounding groundwater and air, harming the local ecosystem and possibly posing health risks to adjacent communities. Source: https://www.newrootsinstitute.org/articles/pig-farming#:~:text=A%20large%20pig%20farm%20can,and%20even%20causing%20health%20problems.

    Impact of Covid-19 on the Pig Farming Market The COVID-19 pandemic has had a significant impact on the pig farming market, both in terms of immediate disruptions and longer-term implications. COVID-19-related lockdowns and restrictions disrupted global supply chains, including thos...

  19. K

    Socioeconomic Characteristics - Median household income, 2010

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 26, 2016
    + more versions
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    ers.usda.gov (2016). Socioeconomic Characteristics - Median household income, 2010 [Dataset]. https://koordinates.com/layer/11163-socioeconomic-characteristics-median-household-income-2010/
    Explore at:
    geodatabase, mapinfo tab, pdf, mapinfo mif, kml, dwg, shapefile, geopackage / sqlite, csvAvailable download formats
    Dataset updated
    Aug 26, 2016
    Dataset provided by
    ers.usda.gov
    Area covered
    Description

    {"definition": "Median income by household: income level that divides county households in half, one half with income above the median and the other half with income below the median; includes income of all household members 15 years old or older.", "availableYears": "2010", "name": "Median household income, 2010", "units": "Dollars", "shortName": "MEDHHINC10", "geographicLevel": "County", "dataSources": "U.S. Census Bureau, Small Area Income and Poverty Estimates\u20142010 Data."}

    © MEDHHINC10 This layer is sourced from gis.ers.usda.gov.

  20. K

    Income - Poverty rate, 2014

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 27, 2016
    + more versions
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    ers.usda.gov (2016). Income - Poverty rate, 2014 [Dataset]. https://koordinates.com/layer/11274-income-poverty-rate-2014/
    Explore at:
    kml, pdf, mapinfo mif, geopackage / sqlite, csv, geodatabase, shapefile, dwg, mapinfo tabAvailable download formats
    Dataset updated
    Aug 27, 2016
    Dataset provided by
    ers.usda.gov
    Area covered
    Description

    {"definition": "Percent of county population living in families with cash income below half of one poverty threshold", "availableYears": "2014", "name": "Poverty rate, 2014", "units": "Percent", "shortName": "PovertyAllAgesPct2014", "geographicLevel": "County", "dataSources": "U.S. Census Bureau, Small Area Income and Poverty Estimates"}

    © PovertyAllAgesPct2014 This layer is sourced from gis.ers.usda.gov.

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USDA Economic Research Service (2024). State Fact Sheets [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/State_Fact_Sheets/25696614
Organization logo

State Fact Sheets

Explore at:
binAvailable download formats
Dataset updated
Oct 1, 2024
Dataset provided by
Economic Research Servicehttp://www.ers.usda.gov/
Authors
USDA Economic Research Service
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool For complete information, please visit https://data.gov.

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