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

This product provides information on Alberta Average Hourly Wage Rates (by Gender, by Age-groups, and by Full-time, Part-time) for Agriculture and Other Major Industries for a five-year period. Annual Percent Change from previous year 2013 is included.

Manufacturing industries, annual 21 principal statistics (revenues, expenses, salaries, employment, stocks, etc.), by North American Industry Classification System (NAICS), total and 3-digit level.

This table contains data described by the following dimensions (Not all combinations are available): Geography (17 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...) Principal statistics (22 items: Total revenue; Revenue from goods manufactured; Total expenses; Total salaries and wages, direct and indirect labour; ...) North American Industry Classification System (NAICS) (290 items: Manufacturing; Food manufacturing; Animal food manufacturing; Animal food manufacturing; ...).

About this dataset

Context

The dataset tabulates the Industry population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Industry across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Industry was 257, a 0.77% decrease year-by-year from 2022. Previously, in 2022, Industry population was 259, a decline of 1.15% compared to a population of 262 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Industry decreased by 271. In this period, the peak population was 651 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Industry is shown in this column.
• Year on Year Change: This column displays the change in Industry population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Industry Population by Year. You can refer the same here

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).

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).

This product provides information on Alberta Average Hourly Wage Rates (by Gender, by Age-groups, and by Full-time, Part-time) for Agriculture and Other Major Industries for a five-year period. Annual Percent Change from previous year 2013 is included.

Logging industries, annual 21 principal statistics (revenues, expenses, salaries, employment, stocks, etc.), by North American Industry Classification System (NAICS), total and 6-digit level.

About this dataset

Context

The dataset tabulates the Industry population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Industry across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Industry was 255, a 0.78% decrease year-by-year from 2021. Previously, in 2021, Industry population was 257, a decline of 1.15% compared to a population of 260 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Industry decreased by 273. In this period, the peak population was 651 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Industry is shown in this column.
• Year on Year Change: This column displays the change in Industry population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Industry Population by Year. You can refer the same here

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)

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.

This dataset provides a comprehensive view of the job market in California, highlighting companies and cities with the highest number of job opportunities. Created by JoPilot, it contains valuable information for anyone interested in the employment landscape across different industries and regions. It includes key information such as:

• Company name • City • State • Number of active jobs

For job seekers, employers, and researchers, this resource can be particularly useful in several ways:

1. Identifying hot job markets: The data highlights cities with the highest number of job openings, helping job seekers focus their search on areas with more opportunities.
2. Company targeting: By showing which companies have the most active job listings, the dataset allows job seekers to target their applications to organizations that are actively hiring.
3. Industry trends: The information can reveal which industries or sectors are experiencing growth in California, guiding career decisions and educational pursuits.
4. Regional comparisons: Users can compare job markets across different California cities and regions, which is valuable for those considering relocation or analyzing economic trends.
5. Skill alignment: While the dataset doesn't directly provide skill requirements, it can be used alongside other resources to align job seekers' skills with in-demand positions.

For a more comprehensive job search strategy, consider complementing this dataset with additional resources such as the California Labor Market Information tools, which offer detailed insights into wages, employment projections, and industry-specific data.

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.

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

This Alberta Official Statistic presents annual per cent change for Alberta and Canada real Gross Domestic Product (GDP) for Primary Agriculture Industries, 2008-2014. Gross Domestic Product (GDP) is a measure of the economic production which takes place within a geographical area. The term "gross" in GDP means that capital consumption costs, that is the costs associated with the depreciation of capital assets (buildings, machinery and equipment), are included. The production estimates are prepared for 215 separate industries using the North American Industrial Classification System (NAICS). Real GDP is gross domestic product adjusted for price changes. By taking out the impact of fluctuation in prices, real GDP allows people to more accurately measure the changes in total output and service for a jurisdiction. GDP measures are part of the Canadian System of National Accounts (SNA). The SNA provides a conceptually integrated framework of statistics for studying the state and behavior of the Canadian economy. The accounts are centered on the measurement of activities associated with the production of goods and services, the sales of goods and services in final markets, the supporting financial transactions, and the resulting wealth positions.

This table contains 352 series, with data for years 1994 - 2008 (not all combinations necessarily have data for all years), and was last released on 2011-09-28. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) North American Industry Classification System (NAICS) (32 items: Mining (except oil and gas); Coal mining; Coal mining; Metal ore mining ...) Components (11 items: Total establishments; Production workers' hours paid; Production workers' wages; Production workers ...).

This table contains 2106 series, with data for years 1978 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Agreements, duration (4 items: Total; durations; Two years; Three years; One year ...), Effective period (4 items: All effective periods; First twelve months; Third twelve months; Second twelve months ...), Components (3 items: Effective wage increase in base rates; Number of employees; Number of agreements ...), Agreements (3 items: All agreements; Agreements without Cost Of Living Allowance; Agreements with Cost Of Living Allowance ...), Major industry division (18 items: All industries; Primary industries; Manufacturing; Construction ...).

Survey of advanced technology, main source of financing for capital expenditures in advanced technologies between 2012 and 2014, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces.

VITAL SIGNS INDICATOR Jobs by Industry (EC1)

FULL MEASURE NAME Employment by place of work by industry sector

LAST UPDATED July 2019

DESCRIPTION Jobs by industry refers to both the change in employment levels by industry and the proportional mix of jobs by economic sector. This measure reflects the changing industry trends that affect our region’s workers.

DATA SOURCE Bureau of Labor Statistics: Current Employment Statistics 1990-2017 http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment by place of work and by industry. Industries are classified by their North American Industry Classification System (NAICS) code. Vital Signs aggregates employment into 11 industry sectors: Farm, Mining, Logging and Construction, Manufacturing, Trade, Transportation and Utilities, Information, Financial Activities, Professional and Business Services, Educational and Health Services, Leisure and Hospitality, Government, and Other. EDD counts all public-sector jobs under Government, including public transportation, public schools, and public hospitals. The Other category includes service jobs such as auto repair and hair salons and organizations such as churches and social advocacy groups. Employment in the technology sector are classified under three categories: Professional and Business Services, Information, and Manufacturing. The latter category includes electronic and computer manufacturing. For further details of typical firms found in each sector, refer to the 2012 NAICS Manual (http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2012).

The Bureau of Labor Statistics (BLS) provides industry estimates for non-Bay Area metro areas. Their main industry employment estimates, the Current Employment Survey and Quarterly Census of Employment and Wages, do not provide annual estimates of farm employment. To be consistent, the metro comparison evaluates nonfarm employment for all metro areas, including the Bay Area. Industry shares are thus slightly different for the Bay Area between the historical trend and metro comparison sections.

The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of the nation’s employment in that same sector. Because BLS does not provide national farm estimates, note that there is no LQ for regional farm employment. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.