Personal Income Tax Statistics for California resident sole proprietorships by major industry.

Get statistical data on food beverage and tobacco manufacturing sector for Ontario.

Data includes:

• revenue from goods manufactured
• total revenue
• total cost of energy
• water utility
• vehicle fuel, cost of materials and supplies

Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Rural Affairs, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

Get data on the Ontario gross domestic product (GDP) by Goods-Producing Industries and Services Industries.

The GDP is a monetary measure of the value of all the goods and services produced in a period.

Economics: National Ocean Watch (ENOW) contains annual time-series data for about 400 coastal counties, 30 coastal states, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes 23 industries in six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP).

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Industry. 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 Industry. 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 Industry, where there exist only two delineated age groups, the median household income is $111,042 for householders within the 65 years and over age group, compared to $56,250 for the 25 to 44 years age group.

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 Industry median household income by age. You can refer the same here

Get data on Ontario Gross Domestic Product (GDP) for agri-food Sector.

The GDP is a monetary measure of the value of all final goods and services produced in a period.

Percentage of enterprises for which specific long-term strategies were the most important, by North American Industry Classification System (NAICS) code and enterprise size, over the next five years. The most important long-term strategies include main focus on good or service positioning, main focus on low-price and cost leadership, and good or service positioning and low-price and cost leadership are equally important.

Innovation, logging and manufacturing industries, percentage of innovative plants, by the most valuable type of co-operation partner for innovation activities, co-operative arrangements and the North American Industry Classification System (NAICS) for Canada, provinces and territories in 2005. (Terminated)

Main market of the business by North American Industry Classification System (NAICS) code and enterprise size. Main market is the geographic region from which the business derived the highest percentage of total sales revenue.

Get data on employment in selected agri-food industries, including employment in:

• primary agriculture
• agriculture and food, beverage and tobacco manufacturing
• other manufacturing related to agriculture

Get statistical data on greenhouse industry statistics for Ontario and Canada.

This dataset includes:

• square footage
• sales
• employee numbers
• selected input costs

About this dataset

Context

The dataset tabulates the Industry median household income by race. The dataset can be utilized to understand the racial distribution of Industry income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Industry, CA median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Industry, CA (2021, in 2022 inflation-adjusted dollars)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Industry median household income by race. You can refer the same here

Percentage of enterprises for which specific events occurred in the main geographical market, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Specific events include entry of new competitor(s), exit of competitor(s), increase in competitive behaviour from existing competitors, and decrease in competitive behaviour from existing competitors.

Economics: National Ocean Watch (ENOW) contains annual time-series data for about 400 coastal counties, 30 coastal states, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP).

A set of three estimates of land-cover types and annual transformations of land use are provided on a global 0.5 x0.5 degree lat/lon grid at annual time steps. The longest of the three estimates spans 1770-2010. The dataset presented here takes into account land-cover change due to four major land-use/management activities: (1) cropland expansion and abandonment, (2) pastureland expansion and abandonment, (3) urbanization, and (4) secondary forest regrowth due to wood harvest. Due to uncertainties associated with estimating historical agricultural (crops and pastures) land use, the study uses three widely accepted global reconstruction of cropland and pastureland in combination with common wood harvest and urban land data set to provide three distinct estimates of historical land-cover change and underlying land-use conversions. Hence, these distinct historical reconstructions offer a wide range of plausible regional estimates of uncertainty and extent to which different ecosystem have undergone changes. The three estimates use a consistent methodology, and start with a common land-cover map during pre-industrial conditions (year 1765), taking different courses as determined by the land-use/management datasets (cropland, pastureland, urbanization and wood harvest) to attain forest area distributions close to satellite estimates of forests for contemporary period. The satellite based estimates of forest area are based on MODIS sensor. All data uses the WGS84 spatial coordinate system for mapping.

Survey of innovation, logging and manufacturing industries, percentage of the plant's total revenue that came from the most important customer or client who was not a part of the firm by type of plant, percentage range of the plant's total revenue and the North American Industry Classification System (NAICS) for Canada, provinces and territories in 2005. (Terminated)

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Industry. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Industry. 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 2022

In terms of income distribution across age cohorts, in Industry, where there exist only two delineated age groups, the median household income is $110,261 for householders within the 65 years and over age group, compared to $76,792 for the 25 to 44 years age group.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 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 Industry median household income by age. You can refer the same here

Multifactor productivity and related variables in the aggregate business sector and major sub-sectors, by North American Industry Classification System (NAICS), provinces.

Overnight visitor spending in Ontario grouped by selected U.S. regions.

Economic multipliers are used to assess the impacts on the economy of an exogenous change in final demand or output of a given industry. Impacts are estimated in terms of total output, gross domestic product, employment and labour income. These multipliers reflect the structure of the Alberta economy and industry linkages during the reference year. Each publication contains multipliers specific to various industries and commodities for two models: the "Open" model covers direct and indirect impacts while the "Closed" model covers direct, indirect and induced impacts. Note regarding the 2020 input-output multipliers: Statistics Canada recommended that due to the COVID pandemic in 2020, the structure of the economy was significantly altered. The 2020 input-output multipliers and input-output models should be used for analysis of economic impacts in 2020. However, for economic impact analysis for more current periods, the 2019 input-output multipliers and input-output models may be considered as more reflective of current economic structures. If you would like to use Alberta’s 2020 and 2019 input-output multipliers from our publications, please contact us at osi.support@gov.ab.ca.