In 2023, the average age of persons engaged in farming in Japan stood at 68.7 years. The figure increased significantly throughout the past decade, compared to 66.2 years in 2010. Japan's agricultural workforce is shrinking Japan's aging population and low birth rate have produced a labor shortage in many industries. Since agricultural work is physically demanding and barely profitable and few young people are willing to inherit their parent's farm or enter the sector as newcomers, the number of commercial farm households consequently continues to decrease. The younger generations often prefer to move to metropolitan areas which provide work, convenience, and a modern lifestyle. Further obstacles to the Japanese agricultural sector Its geography complicates agriculture in Japan as the island nation regularly suffers from natural disasters. Typhoons, earthquakes, and tsunamis cause high damage costs to the agriculture, forestry, and fishery industry every year.Furthermore, only about 20 percent of the mountainous archipelago is suitable for cultivation, and the area of cultivated land keeps shrinking as more and more land is used for housing.

Census of Agriculture, 2021. Age and sex of farm operators classified by the number of operators reported on the farm.

According to a survey among South Korean farmers on their age in 2020, roughly 41.7 percent of respondents stated that they were between 60 and 69 years old. With the aging of the South Korean population and especially the aging of farmers, the succession of farms and the development of new technologies such as smart farming will be an important issue in the future for the agricultural sector.

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.

Census of Agriculture, 1991 to date. Characteristics of farm operators: sex, age and paid non-farm work.

This dataset collection contains information about the average age of farmers categorized by owner type. The data tables included in this collection are sourced from the website of Luke (Natural Resources Institute Finland), an organization based in Finland. The dataset provides insights into the average age of farmers in different owner categories in Finland.

This dataset collection includes tables that provide information about the average age of farmers by production sector. The tables in this collection are sourced from the website of Luke (Natural Resources Institute Finland), which is located in Finland.

Average age of operator identified as the principal operator for their farm – a person primarily responsible for the on-site, day-to-day operation of the farm or ranch business. This person may be a hired manager or business manager.

Data source: United States Department of Agriculture, Census of Agriculture

Date: 2012

Average age of farmers retirement savings contributors, average male age, average female age - divided by withdrawal rate

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.

About this dataset

Context

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

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Farming township, the median household income stands at $108,750 for householders within the 25 to 44 years age group, followed by $96,932 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $39,539.

Content

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

Age groups classifications include:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

This Product provides information on Census of Agriculture, Alberta Farm Operators, 1996-2011. Total number of Census Farms and Total Farm Operators, Average Age (years) of Farm Operartors, Farm Operator Gender, Age on All Farms, Operators by Average Hours Per Week Worked for the Agricultural Operation, and Operators Reporting Paid Non-Farm Work, hours per week are included.

In South Korea in 2023, approximately 2.4 million people were working in the agricultural industry. The majority of these were farmers and families, with people in forestry and fishery numbering slightly over 290 thousand. There were just little less than one million farming households.

Shrinking number of farmers

The development of manufacturing and high-tech industries in Korea meant the number of people involved in agriculture, forestry, and fishing has been dropping steadily for years. The mainstay of the economy became automobiles, ships, semiconductors, petroleum products, and so on. People in agriculture accounted for approximately five percent of the total population. This rate saw a steady decrease and is expected to fall further. The aging of current farmers and the industry’s unpopularity among younger generations is also having a negative effect. Youths prefer better paying and less physical strenuous occupations in companies or government service, among others. Around half of all farmers are more than 65 years old; this is the typical retirement age in Korea.

Possibilities for growth of Korean agriculture

In recent years, an increased focus on healthy eating and the introduction of technology into agriculture have created the potential for further industry growth. Koreans today are showing greater concern with the food they consume, whether they be grains, vegetables, or meat products. Organic farming and so-called ‘wellbeing’ foods are popular, despite the higher price tags associated with such products, leading to a growing market for organic agriculture and food products.

About this dataset

Context

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

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 3(0.92%) households where the householder is under 25 years old, 80(24.62%) households with a householder aged between 25 and 44 years, 139(42.77%) households with a householder aged between 45 and 64 years, and 103(31.69%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the township of Farming township, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

Median Age, Sex and Fishery Training Status of Fish Farmer by District, Nepal Fishery Survey 2072. Institutional ponds are not included.

Abstract

The Census of Agriculture & Fisheries (AGC 2011) is a national government operation geared towards the collection and compilation of statistics in the agriculture sector of the country. The collected data will constitute the bases from which policymakers and planners will formulate plans for the country's development.

The first Census of Agriculture (CoA) in the Cook Islands was conducted in 1988 and the second in 2000. Both censuses were supported technically by FAO. The Cook Islands also has a long history of population census taking at 5-yearly intervals in years ending in 1 and 6. Traditionally the Census of Population and Dwellings (CoPD) has included questions on agricultural activity at the household level, types of crops grown, livestock numbers, farm machinery and involvement in fishing and pearl farming activities. Section 3 of this report looks at data collected in the CoPD 2011 related to agricultural, fishing and pearl farming activities

Geographic coverage

National coverage.

Analysis unit

Household; Holding; Parcel; Individual.

Universe

The census covered all households, agricultural operators, agricultural establishments, fishing operators and pearl farmers.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The census of population and dwellings had 4 categories of agricultural activity, namely: subsistence only, commercial only, subsistence and commercial and no agriculture. For those engaged in agricultural activity a further breakdown was collected, namely: vegetables, fruit, flowers and other. The census of agriculture also had 4 categories but for crop growing only, namely, non-agricultural, minor agricultural, subsistence and commercial. The differences in these classifications and the types of agriculture included make comparisons difficult, however, it is useful to evaluate the two sets of data and draw conclusions as to the extent of agricultural activity in the cook islands from these two sources.

The questionnaires used for the census of agriculture 2000 and the census of population and dwellings 2006, related to agriculture, were reviewed and efforts made to avoid duplication. In particular, the question on the numbers of livestock kept by the household was dropped from the census of population and dwellings as this data was being collected in the census of agriculture. Likewise, information on machinery and equipment was dropped from the census of agriculture as this was being collected in the census of population and dwelling. Questions on the extent of involvement in agricultural activity at the household level were maintained in both censuses as was the extent of involvement in fishing and pearl farming. This provided a useful coverage check for the census of agriculture, in particular, although it was noted that there were definitional differences between the two censuses especially related to flower cultivation which was considered an agricultural activity in the census of population and dwellings but not in the census of agriculture. At the individual level, data on labour inputs was recorded in the census of agriculture by age and sex but other data at the individual level has then to be obtained through linkages to the census of population and dwellings through the person and household number.

The household questionnaire was administered in each household, which collected various information on levels of agricultural activity, holdings detail (including name of operator, total area, number of separate parcels, location), crops currently growing and/or harvested (including crops currently growing, total area, number of plants,crops planted and/or harvested, total area, number of plants), proportion of income from agriculture, loans for agriculture purposes, fertilizers, agricultural chemicals, improved varieties, other selected activities during the last 12 months (including bee keeping, hydroponic, floriculture, handicrafts), traditional methods on food storage and planting, travelling with locally grown food, water usage

In addition to a household questionnaire, questions were administered in each household for holding which collected various information on holding iidentification, parcel details during the lasts 12 months (including location, area, land tenure, land use, months used), scattered plants/trees (including number of plants), labour input for persons 15 years and over working during the last month (including sex, age, status, type, average hours worked per week, wages per month, benefits and other paid job)

In addition to a holding questionnaire, questions were administered for parcels which collected various information (during the last 12 months) on plot details (including proportion to parcel area, crops grown, method of planting, number of plants and proportion for sale), crops planted and harvested (including area harvested, number of plants and proportion for sale)

In addition to a household questionnaire, questions were administered in each household for livestock which collected various information on type and number of livestock, type of operation, nature of disposal during the last 12 months (including kind of livestock, number disposed (including home use, feast/gifts, sold, slaughtered, live)

In addition to a household questionnaire, questions were administered in each household for fishing which collected various information on household members engaged, main purpose of fishing activity, household members (including average hours spent per week), details of fishing activities (including forms of fishing, number of people fishing, location, average number of fishing trips, average hours per fishing trip), boat details (including type of boat, length, engine), proportion of fish caught/collected and sold, proportion consumed

In addition to a household questionnaire, questions were administered in each household for pearl farming which collected various information (during the last 12 months) on farming details (including farm lines, spat collector lines, spat details, number of farm shells, labour input (including person number, sex, age, status, type, average hours worked per week, wages per month, benefits received, other paid job) , boat operation (including times used per week), type of equipment and facility, number of times per week, number owned, hired, borrowed), shelling details, proportion of income, loan details

The questionnnaires, that were developed in English, contain was divided into 5 forms: -Household Form: Levels of agricultural activity, List of agricultural holdings, Crops, Income from agricultural activities, Loans, Fertilizers, Other relevant questions. -Holding Form: Parcel details, Scattered plants/trees, Labour inputs. -Parcel Form: Number of sepearate plots, Plot details, Crops. -Livestock Form: Livestock details, Type of operation, Nature of disposal. -Fishing & Pearl Farming Form: Fisheries activities details, Pearl farm information, Labour inputs, Boats and other equipment used, Other relevant information.

Cleaning operations

The length and complexity of the census of agriculture forms made the exercise much more time consuming and virtually all records had to be edited. The data capture and data cleaning exercise for the census of agriculture took the best part of 12 months, including the adjustments following the re-enumeration of Aitutaki. Tabulation also proved to be challenging because of the need for considerable internal computation of areas and numbers of plants. The final database was then split up into a number of smaller databases designed for each set of tables. The tabulation was done using Microsoft EXCEL and ACCESS

In interpreting the results of the census of agriculture, account needs to be taken of the fact that households classified as having no agricultural or fishing activities in the census of population and dwellings were excluded from the census of agriculture, especially on Rarotonga. Other definitional differences between the two censuses should also be noted. The census of population and dwellings defined agricultural activity as crops, livestock and floriculture whereas the ensus of agriculture definition was primarily crops. Livestock and poultry raising was treated separately in the census of agriculture and flower growing was only included in the census of agriculture if it was a commercial activity or was carried out in conjunction with food crop activities.

In 2021, the age group with the highest number of farmers in Japan was those aged between 60 and 74 years old, with over six thousand people. The second largest age group consisted of people aged 75 years and older, numbering over 4.1 thousand people.

** Farmers and employees of agricultural holdings by municipality** Agreste – Agricultural Censuses (1970, 1979, 1988, 2000, 2010) **** All farms (excluding collective grazing) Small farms Medium and large holdings Characteristics of people: Managers and co-operators Managers and co-operators – Men Managers and co-operators – Women Managers and co-operators – Under 40 Farm managers and co-operators – 40 to 60 years old Managers and co-operators – 60 years or older Farm managers and co-operators – multi-active Permanent employees outside the family Permanent employees outside the family – Men Permanent employees outside the family – Women Permanent employees outside the family – Gender not specified (mutual assistance DOM 2000) Permanent employees outside the family – Under 40 Permanent employees outside the family – 40 years or older Permanent employees outside the family – Age not specified (DOM employees) Farm description: Number of holdings Number of persons Annual Work Units (AWU) * * * * # The agricultural censuses, ten-year surveys, offer an instant, complete and detailed picture of a key sector of the French and European economy: agriculture (agricultural population, plant areas, including vineyards, livestock numbers, means of production, ancillary activities, etc.). It answers questions as diverse as it is varied, at all geographical levels, allowing comparisons at the finest level (canton, common) and takes into account the local specificities as well as the new challenges of agriculture, such as signs of quality, territorial farm contracts, cultivation practices, etc. It is also interested in smaller farms and the important local impact. To prepare for the future of the agricultural world: The agricultural census makes it possible to measure the impact of agricultural policies, in particular the Common Agricultural Policy (CAP), on agricultural practices and the environment.It gives political leaders, national elected officials and representatives of the profession keys to preparing future agricultural laws and regulations and international negotiations. It provides elected representatives of rural communes with valuable data for spatial management and spatial planning. The 2010 agricultural census follows the 1970, 1979, 1988 and 2000 censuses. The 2020 agricultural census will soon begin. The main data relate to: Crops and areas cultivated, Breeding and livestock, Methods of crop protection, Farm equipment, Diversification of activities (green tourism...), The marketing of products (AOC, direct sales to consumers, etc.), Employment (employee, family employment, etc.) and the level of training of the farmer, Management of the farm. There is no question about the financial results or the income of farmers. Who was identified? Investigators identified all production units meeting 3 criteria > producing agricultural products; > have an independent day-to-day management; > attain or exceed a certain threshold in area, production or number of animals. This threshold has been defined as follows: > a utilised agricultural area (UAA) of 1 hectare or more; > or a specialised crop area greater than or equal to 20 ares; > or sufficient agricultural production activity, estimated in terms of number of animals, production area or minimum production volume.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Farmer City. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Farmer City. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2021

In terms of income distribution across age cohorts, in Farmer City, householders within the 45 to 64 years age group have the highest median household income at $68,908, followed by those in the 25 to 44 years age group with an income of $56,337. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $49,287. Notably, householders within the under 25 years age group, had the lowest median household income at $17,835.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Age groups classifications include:

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

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

Total number and average annual number of professional farmers on agricultural holdings divided by year, age groups and income brackets. Historical series, years 2010-2020.