In the United States, agroforestry is commonly defined as a suite of land management practices that intentionally integrate woody plants (trees, shrubs, vines, etc.) with crop and/or animal production systems. Understanding agroforestry adoption in the United States is critical to serve as a baseline of existing agroforestry systems and for future planning purposes. There is growing interest in identifying where future systems are most likely to occur. Since 2017, the Census of Agriculture (COA) from the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) has asked whether farm operations have agroforestry. While the COA does not differentiate the type of agroforestry used (e.g., windbreak, silvopasture, forest farming, alley cropping, riparian forest buffer) it does provide county-level numbers of farm operations practicing agroforestry. These raw numbers, available from the NASS website in tabular format, can then be joined to county-level geospatial data to provide thematic maps. This data publication includes vector polygon spatial data in multiple formats that includes the number of farm operations reporting agroforestry, the total number of farms, and the percentage of farm operations reporting agroforestry for each county in the U.S. in 2017 and 2022. The change in the proportion of farms reporting agroforestry from 2017 to 2022 is also included.The raw data were produced by the USDA National Agricultural Statistics Survey (NASS) Census of Agriculture (COA.) The COA is completed every 5 years and is a count of U.S. farms and ranches from which $1,000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year. It also looks at land use, ownership, production practices, income, and other characteristics. The 2017 COA was the first census to ask if producers have any of the five common agroforestry practices (windbreak, silvopasture, forest farming, alley cropping, riparian forest buffer.) NASS included the same agroforestry question in the 2022 COA, allowing for the first national-level trend analysis for agroforestry extent in the United States. The National Agroforestry Center published the first maps depicting the agroforestry results from the COA in 2017 and have now created a new series of maps to reflect newly published agroforestry data from the 2022 COA. In addition, maps showing change in agroforestry at the national scale have been created, using data from the 2017 and 2022 COA. The purpose of this project was to use the raw census numbers to create a spatial layer for visualization, mapping, and analysis purposes.For more information about these data, see Kellerman et al. (2025) and Smith et al. (2022).

The first edition of these data, Kellerman (2023, https://doi.org/10.2737/RDS-2023-0044) contains 2017 data. This second edition includes the same 2017 data, but a different source for county boundaries was used (more details below), as well as the addition to 2022 data.

The Census of Agriculture highlight key agricultural metrics for US states and counties. Percentage metrics included were calculated as follows: Percent of harvested cropland in cover crops = (cover crops acres)/((harvested cropland)+(failed crops)-(alfalfa))Percent of total tilled cropland using no-till = (no-till acreage)/(no till + reduced till + conventional till)Percent of tilled cropland using conservation tillage = (no till + reduced till acreage)/(no till + reduced till + conventional till)Percent of agricultural land in conservation easement = (conservation easement acres that excludes CRP)/((land in farms) – (CRP WRP FWP CREP acres))Percent of agricultural land in Conservation Reserve Program = (Conservation Reserve Program acres / cropland acres + Conservation Reserve Program acres ))*100Note, that counties for the Census of Agriculture are different than standard US Census Bureau counties; for example, cities in Virginia such as Harrisonburg, VA are rolled into the respective county and counties in Alaska are rolled into regions with their own district/region FIPS codes, etc. Also note, some counties have no data as one or more of the input variables included suppression.These data have been made publicly available from an authoritative source other than this Atlas and data should be obtained directly from that source for any re-use. See the original metadata from the authoritative source for more information about these data and use limitations. The authoritative source of these data can be found at the following location: https://www.nass.usda.gov/Publications/AgCensus/2017/Online_Resources/Ag_Census_Web_Maps/Data_download/index.php

About this dataset

Context

The dataset tabulates the Farmer population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Farmer. The dataset can be utilized to understand the population distribution of Farmer by age. For example, using this dataset, we can identify the largest age group in Farmer.

Key observations

The largest age group in Farmer, SD was for the group of age 0-4 years with a population of 20 (28.99%), according to the 2021 American Community Survey. At the same time, the smallest age group in Farmer, SD was the 15-19 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Farmer is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Farmer total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmer Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Farmers Branch population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Farmers Branch. The dataset can be utilized to understand the population distribution of Farmers Branch by age. For example, using this dataset, we can identify the largest age group in Farmers Branch.

Key observations

The largest age group in Farmers Branch, TX was for the group of age 30-34 years with a population of 3,582 (9.92%), according to the 2021 American Community Survey. At the same time, the smallest age group in Farmers Branch, TX was the 85+ years with a population of 419 (1.16%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Farmers Branch is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Farmers Branch total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmers Branch Population by Age. You can refer the same here

This statistic shows the market share of smart agriculture worldwide in 2017, by region. In that year, North America held a **** percent share of the smart farming market worldwide.

Around ** percent of the contiguous United States was covered by forests in 2017. However agriculture combined with grassland and pasture make up a larger share of the U.S., at around ** percent. The U.S. still maintains a lot of its agrarian economy. Soy beans and corn make up a large share of the country's agricultural land use. These two commodities are primarily used as livestock feed and to produce ethanol.

The total area of cropland in the United States has not changed significantly over the last several years, with only a slight decrease from ***** million acres in 2012 to around ***** million acres in 2018. The largest decrease in area during that time period occurred between 2014 and 2015. Crop Diversity in the United States A significant portion of the United States economy is rooted in agriculture. As a large country with a diverse and varied climate, the United States is perfectly suited to producing a huge variety of crops. For instance, much of the tobacco produced in the United States originates from North Carolina, Kentucky, and Virginia. However, when it comes to fresh vegetables, California had by far the highest production volume of any U.S. state as of 2018. Facts about U.S. Farms As the largest state in the continental United States, Texas also has the highest number of farms of any U.S. state, at *** thousand in 2018. Missouri came in second place at ** thousand farms in that year. Operating and maintaining a farm in the United States is labor intensive, with many different costs and expenses that must be considered in order to keep the farm profitable. As of 2017, around **** percent of total farm production expenditure was attributed to animal feed.

About this dataset

Context

The dataset tabulates the Farmer City population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Farmer City. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 - 64 years with a poulation of 1,097 (58.04% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Farmer City population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Farmer City is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Farmer City is shown in the following column.

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 Farmer City Population by Age. You can refer the same here

Statistics on agriculture in Massachusetts

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Farmer by race. It includes the distribution of the Non-Hispanic population of Farmer across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Farmer across relevant racial categories.

Key observations

With a zero Hispanic population, Farmer is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 69 (100% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/farmer-sd-population-by-race-and-ethnicity.jpeg" alt="Farmer Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Farmer
• Population: The population of the racial category (for Non-Hispanic) in the Farmer is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Farmer total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmer Population by Race & Ethnicity. You can refer the same here

This statistic highlights the percentage of consumers becoming concern about farm animal welfare as of 2017. Survey participants were asked indicate the extent to which you agree or disagree with the statements: "I am more concerned than I was a few years ago about the treatment of animals raised for food". Some ** percent of consumers responded to be very concerned about animal welfare in the United States lately. Only ** percent of survey respondents stated to be not more concerned.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Farmers Branch by race. It includes the distribution of the Non-Hispanic population of Farmers Branch across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Farmers Branch across relevant racial categories.

Key observations

Of the Non-Hispanic population in Farmers Branch, the largest racial group is White alone with a population of 12,651 (63.95% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/farmers-branch-tx-population-by-race-and-ethnicity.jpeg" alt="Farmers Branch Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Farmers Branch
• Population: The population of the racial category (for Non-Hispanic) in the Farmers Branch is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Farmers Branch total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmers Branch Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Prairie Farm population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Prairie Farm. The dataset can be utilized to understand the population distribution of Prairie Farm by age. For example, using this dataset, we can identify the largest age group in Prairie Farm.

Key observations

The largest age group in Prairie Farm, WI was for the group of age 55-59 years with a population of 66 (13.98%), according to the 2021 American Community Survey. At the same time, the smallest age group in Prairie Farm, WI was the 70-74 years with a population of 8 (1.69%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Prairie Farm is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Prairie Farm total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Prairie Farm Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Meadowbrook Farm population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Meadowbrook Farm. The dataset can be utilized to understand the population distribution of Meadowbrook Farm by age. For example, using this dataset, we can identify the largest age group in Meadowbrook Farm.

Key observations

The largest age group in Meadowbrook Farm, KY was for the group of age 10-14 years with a population of 14 (11.29%), according to the 2021 American Community Survey. At the same time, the smallest age group in Meadowbrook Farm, KY was the 20-24 years with a population of 2 (1.61%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Meadowbrook Farm is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Meadowbrook Farm total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Meadowbrook Farm Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Brownsboro Farm population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Brownsboro Farm. The dataset can be utilized to understand the population distribution of Brownsboro Farm by age. For example, using this dataset, we can identify the largest age group in Brownsboro Farm.

Key observations

The largest age group in Brownsboro Farm, KY was for the group of age 55-59 years with a population of 56 (9.79%), according to the 2021 American Community Survey. At the same time, the smallest age group in Brownsboro Farm, KY was the 20-24 years with a population of 4 (0.70%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Brownsboro Farm is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Brownsboro Farm total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Brownsboro Farm Population by Age. You can refer the same here

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show populations by industries by census tract in the Atlanta region. The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website. Naming conventions: Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)Suffixes:NoneChange over two periods_eEstimate from most recent ACS_mMargin of Error from most recent ACS_00Decennial 2000 Attributes: SumLevelSummary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)GEOIDCensus tract Federal Information Processing Series (FIPS) code NAMEName of geographic unitPlanning_RegionPlanning region designation for ARC purposesAcresTotal area within the tract (in acres)SqMiTotal area within the tract (in square miles)CountyCounty identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)CountyNameCounty NameCivEmployed_e# Civilian employed, 2017CivEmployed_m# Civilian employed, 2017 (MOE)AgForInd_e# Agriculture, forestry, fishing and hunting, and mining industries, 2017AgForInd_m# Agriculture, forestry, fishing and hunting, and mining industries, 2017 (MOE)pAgForInd_e% Agriculture, forestry, fishing and hunting, and mining industries, 2017pAgForInd_m% Agriculture, forestry, fishing and hunting, and mining industries, 2017 (MOE)ConstInd_e# Construction industry, 2017ConstInd_m# Construction industry, 2017 (MOE)pConstInd_e% Construction industry, 2017pConstInd_m% Construction industry, 2017 (MOE)ManufInd_e# Manufacturing industry, 2017ManufInd_m# Manufacturing industry, 2017 (MOE)pManufInd_e% Manufacturing industry, 2017pManufInd_m% Manufacturing industry, 2017 (MOE)WholesaleInd_e# Wholesale trade industry, 2017WholesaleInd_m# Wholesale trade industry, 2017 (MOE)pWholesaleInd_e% Wholesale trade industry, 2017pWholesaleInd_m% Wholesale trade industry, 2017 (MOE)RetailInd_e# Retail trade industry, 2017RetailInd_m# Retail trade industry, 2017 (MOE)pRetailInd_e% Retail trade industry, 2017pRetailInd_m% Retail trade industry, 2017 (MOE)TransportInd_e# Transportation and warehousing, and utilities industries, 2017TransportInd_m# Transportation and warehousing, and utilities industries, 2017 (MOE)pTransportInd_e% Transportation and warehousing, and utilities industries, 2017pTransportInd_m% Transportation and warehousing, and utilities industries, 2017 (MOE)InfoInd_e# Information industry, 2017InfoInd_m# Information industry, 2017 (MOE)pInfoInd_e% Information industry, 2017pInfoInd_m% Information industry, 2017 (MOE)FIREInd_e# Finance and insurance, and real estate and rental and leasing industries, 2017FIREInd_m# Finance and insurance, and real estate and rental and leasing industries, 2017 (MOE)pFIREInd_e% Finance and insurance, and real estate and rental and leasing industries, 2017pFIREInd_m% Finance and insurance, and real estate and rental and leasing industries, 2017 (MOE)ProfSciInd_e# Professional, scientific, and management, and administrative and waste management services industries, 2017ProfSciInd_m# Professional, scientific, and management, and administrative and waste management services industries, 2017 (MOE)pProfSciInd_e% Professional, scientific, and management, and administrative and waste management services industries, 2017pProfSciInd_m% Professional, scientific, and management, and administrative and waste management services industries, 2017 (MOE)EdHealthInd_e# Educational services, health care and social assistance industries, 2017EdHealthInd_m# Educational services, health care and social assistance industries, 2017 (MOE)pEdHealthInd_e% Educational services, health care and social assistance industries, 2017pEdHealthInd_m% Educational services, health care and social assistance industries, 2017 (MOE)ArtEntInd_e# Arts, entertainment, and recreation, and accommodation and food services industries, 2017ArtEntInd_m# Arts, entertainment, and recreation, and accommodation and food services industries, 2017 (MOE)pArtEntInd_e% Arts, entertainment, and recreation, and accommodation and food services industries, 2017pArtEntInd_m% Arts, entertainment, and recreation, and accommodation and food services industries, 2017 (MOE)OthServiceInd_e# Other service industries, except public administration, 2017OthServiceInd_m# Other service industries, except public administration, 2017 (MOE)pOthServiceInd_e% Other service industries, except public administration, 2017pOthServiceInd_m% Other service industries, except public administration, 2017 (MOE)PubAdminInd_e# Public administration industry, 2017PubAdminInd_m# Public administration industry, 2017 (MOE)pPubAdminInd_e% Public administration industry, 2017pPubAdminInd_m% Public administration industry, 2017 (MOE)last_edited_dateLast date the feature was edited by ARC Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2013-2017 For additional information, please visit the Census ACS website.

About this dataset

Context

The dataset tabulates the Farmer population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Farmer. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was Under 18 years with a poulation of 44 (63.77% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Farmer population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Farmer is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Farmer is shown in the following column.

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 Farmer Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Farmers Branch Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Farmers Branch, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Farmers Branch.

Key observations

Among the Hispanic population in Farmers Branch, regardless of the race, the largest group is of Mexican origin, with a population of 12,798 (78.48% of the total Hispanic population).

https://i.neilsberg.com/ch/farmers-branch-tx-population-by-race-and-ethnicity.jpeg" alt="Farmers Branch Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Black or African American
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Farmers Branch
• Population: The population of the specific origin for Hispanic or Latino population in the Farmers Branch is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Farmers Branch total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmers Branch Population by Race & Ethnicity. You can refer the same here

Snapshot img

Date Palm Market Size 2025-2029

The date palm market size is forecast to increase by USD 10.25 billion, at a CAGR of 6.9% between 2024 and 2029.

Rising health awareness among consumers continues to shape the evolving landscape of the organic dates market, with demand steadily increasing due to the recognized health benefits of organic dates. These include their high fiber content, dense nutritional profile, and essential minerals and vitamins, which align with consumer preferences for clean-label, healthy snacks and natural food choices. The shift toward health-conscious diets has also led market players to explore advanced cultivation practices and supply chain improvements to maintain product quality. As the market matures, the emphasis is moving toward traceability, organic certification, and sustainable agriculture as key differentiators in consumer decision-making.
A significant challenge in the market remains the vulnerability of date palm plantations to fungal diseases and pest infestations, which can reduce yield and threaten long-term production. Addressing this requires a strategic focus on innovation, particularly in developing disease-resistant varieties and adopting sustainable farming practices. Compared to traditional farming methods, organic cultivation faces higher risk but also offers long-term ecological and economic advantages. While the shift to organic methods introduces complexities in pest control and yield reliability, it also opens opportunities for differentiation in premium segments. The contrast between the market's growth potential and its production constraints underscores the importance of adaptive strategies and research-driven solutions to maintain momentum.

Major Market Trends & Insights

Middle East and Africa dominated the market and accounted for a 72% share in 2023
Based on the Product the Medjool date palm segment led the market and was valued at USD 13.038 billion of the global revenue in 2023
Based on the Distribution Channel the Offline accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 79.72 Million
Future Opportunities: USD 10.25 Billion
CAGR (2024-2029): 6.9%
Middle East and Africa: Largest market in 2023

What will be the Size of the Date Palm Market during the forecast period?

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The global date palm market is undergoing a transformation marked by evolving regenerative agricultural methods and increasing value addition through by-products. Interest in date palm by-products, date palm fiber applications, and date palm waste utilization is growing as manufacturers and farmers adopt climate-smart date palm production practices. While traditional date palm cultivation remains prevalent, there is a shift toward modern date palm farming, including vertical farming, controlled environment agriculture, and mechanized harvesting. These advances support economic sustainability, environmental sustainability, and social responsibility, particularly in date palm orchard management, where emphasis on automated irrigation, disease resistant date palms, and pest resistant date palms is crucial.
Demand for hybrid date palms, efficient date palm propagation, and improved date palm varieties is rising alongside the importance of health benefits of dates and their nutritional composition. The sector's growth is also being driven by the expansion of food processing technologies, particularly in date fruit processing, date palm sap, and date palm blossom extraction. Simultaneously, stakeholders are enhancing food safety regulations, quality control, and traceability systems to meet global standards and strengthen food security strategies. Innovations in packaging design, sustainable packaging, and carbon footprint reduction are playing key roles in brand positioning, especially across retail channels, e-commerce platforms, and online sales.
Strategic market intelligence and import market analysis as well as export market analysis are guiding decisions on investment opportunities and influencing agricultural policies. As consumer behavior evolves, accurate product labeling, permitted health claims, and effective health promotion strategies are essential in capturing demand. Ultimately, a comprehensive value chain development approach ensures long-term competitiveness in the global date palm.

How is this Date Palm Industry segmented?

The date palm industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Medjool date palm
  Deglet nour date palm
  Others


Distribution Channel

  Offline
  Online


Type

  Natural
  Organic


Form Factor

  Raw
  Processed


Geography

  North America

    US


  Middle East and Africa

    Egypt
    Iran

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Farmer City by race. It includes the distribution of the Non-Hispanic population of Farmer City across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Farmer City across relevant racial categories.

Key observations

Of the Non-Hispanic population in Farmer City, the largest racial group is White alone with a population of 1,881 (100% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/farmer-city-il-population-by-race-and-ethnicity.jpeg" alt="Farmer City Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Farmer City
• Population: The population of the racial category (for Non-Hispanic) in the Farmer City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Farmer City total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmer City Population by Race & Ethnicity. You can refer the same here