🇬🇧 영국 English Earnings data from the Annual Survey of Hours and Earnings, ONS

This dataset supports measure CLL.B.1 of SD23 and identifies the median earnings of metro-area Creative Sector occupations by Bureau of Labor Statistics Standard Occupational Classifications System [SOC] codes. Data Source: 3rd party - Creative Vitality Suite Calculation: the middle of the earnings, among all SOC codes Measure Time Period: Annually (Calendar Year) Last update: April 2021 View more details and insights related to this data set on the story page: data.austintexas.gov/stories/s/jaia-eaet

Graph and download economic data for Average Weekly Earnings of All Employees: Total Private in Bend, OR (MSA) (SMU41134600500000011) from Jan 2007 to Apr 2025 about Bend, OR, earnings, private, employment, and USA.

Graph and download economic data for Labor Compensation: Earnings: Manufacturing: Hourly for Euro Area (19 Countries) (LCEAMN01EZQ659S) from Q1 1997 to Q4 2024 about compensation, Euro Area, earnings, Europe, hours, and manufacturing.

Earnings by Place of Work in District of Columbia was 131375885.00000 Thous. of $ in October of 2024, according to the United States Federal Reserve. Historically, Earnings by Place of Work in District of Columbia reached a record high of 131375885.00000 in October of 2024 and a record low of 39925280.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for Earnings by Place of Work in District of Columbia - last updated from the United States Federal Reserve on July of 2025.

Information Earnings in District of Columbia was 4969539.00000 Thous. of $ in October of 2024, according to the United States Federal Reserve. Historically, Information Earnings in District of Columbia reached a record high of 5103287.00000 in January of 2024 and a record low of 1692084.00000 in October of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for Information Earnings in District of Columbia - last updated from the United States Federal Reserve on June of 2025.

Table from the American Community Survey (ACS) 5-year series on income and earning related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B19025 Aggregate Household Income, B19013 Median Household Income, B19001 Household Income, B19113 Median Family Household Income, B19101 Family Household Income, B19202 Median Nonfamily Household Income, B19201 Nonfamily Household Income, B19301 Per Capita Income/B19313 Aggregate Income/B01001 Sex by Age, C24010 Sex by Occupation of the Civilian Employed Population 16 years and Over, B20017 Median Earnings by Sex by Work Experience for the Population 16 years and over with Earnings, B20001 Sex by Earnings for the Population 16 years and over with Earnings. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B19013, B19001, B19113, B19101, B19202, B19201, B19301, B19313, B01001, C24010, B20017, B20001, B19025Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Median earnings of metro-area creative sector occupations in the Austin MSA

Graph and download economic data for Average Hourly Earnings of All Employees: Total Private in Modesto, CA (MSA) (SMU06337000500000003) from Jan 2007 to May 2025 about Modesto, earnings, hours, CA, private, employment, and USA.

VITAL SIGNS INDICATOR Income (EC4)

FULL MEASURE NAME Household income by place of residence

LAST UPDATED May 2019

DESCRIPTION Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

DATA SOURCE U.S. Census Bureau: Decennial Census Count 4Pb (1970) Form STF3 (1980-1990) Form SF3a (2000) https://nhgis.org

U.S. Census Bureau: American Community Survey Form B19013 (2006-2017; place of residence) http://api.census.gov

Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1970-2017; specific to each metro area) http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Income data reported in a given year reflects the income earned in the prior year (decennial Census) or in the prior 12 months (American Community Survey); note that this inconsistency has a minor effect on historical comparisons (for more information, go to: http://www.census.gov/acs/www/Downloads/methodology/ASA_nelson.pdf). American Community Survey 1-year data is used for larger geographies – metropolitan areas and counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Quintile income for 1970-2000 is imputed from Decennial Census data using methodology from the California Department of Finance (for more information, go to: http://www.dof.ca.gov/Forecasting/Demographics/Census_Data_Center_Network/documents/How_to_Recalculate_a_Median.pdf). Bay Area income is the population weighted average of county-level income.

Income has been inflated using the Consumer Price Index specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data is unavailable for some historical data points. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

🇺🇸 미국

Educational Services Earnings in District of Columbia was 4802640.00000 Thous. of $ in October of 2024, according to the United States Federal Reserve. Historically, Educational Services Earnings in District of Columbia reached a record high of 4802640.00000 in October of 2024 and a record low of 1364460.00000 in April of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for Educational Services Earnings in District of Columbia - last updated from the United States Federal Reserve on July of 2025.

Hourly Earnings: Manufacturing for the OECD Total Area (DISCONTINUED) was 1.17600 Index 2010=1.00 in June of 2017, according to the United States Federal Reserve. Historically, Hourly Earnings: Manufacturing for the OECD Total Area (DISCONTINUED) reached a record high of 1.17600 in April of 2017 and a record low of 0.36400 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for Hourly Earnings: Manufacturing for the OECD Total Area (DISCONTINUED) - last updated from the United States Federal Reserve on July of 2025.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Petersburg Census Area. The dataset can be utilized to gain insights into gender-based income distribution within the Petersburg Census Area population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Petersburg Census Area, among individuals aged 15 years and older with income, there were 1,372 men and 1,384 women in the workforce. Among them, 547 men were engaged in full-time, year-round employment, while 457 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.12% fell within the income range of under $24,999, while 10.94% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 23.40% of men in full-time roles earned incomes exceeding $100,000, while 14.66% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

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:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Petersburg Census Area median household income by race. You can refer the same here

Real Estate, Rental and Leasing Earnings in District of Columbia was 1649701.00000 Thous. of $ in October of 2024, according to the United States Federal Reserve. Historically, Real Estate, Rental and Leasing Earnings in District of Columbia reached a record high of 1792680.00000 in July of 2017 and a record low of -803624.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for Real Estate, Rental and Leasing Earnings in District of Columbia - last updated from the United States Federal Reserve on July of 2025.

The Current Employment Statistics (CES) program produces detailed industry estimates of employment, hours, and earnings of workers on nonfarm payrolls. CES State and Metro Area produces data for all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, and about 450 metropolitan areas and divisions. Each month, CES surveys approximately 142,000 businesses and government agencies, representing 689,000 individual worksites. For more information and data, visit: https://www.bls.gov/sae/

Mining Earnings in District of Columbia was 18703.00000 Thous. of $ in October of 2024, according to the United States Federal Reserve. Historically, Mining Earnings in District of Columbia reached a record high of 38064.00000 in October of 2017 and a record low of -28360.00000 in October of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for Mining Earnings in District of Columbia - last updated from the United States Federal Reserve on July of 2025.

This table of Income profile information for dissemination area was downloaded from the Statistics Canada website and joined with bndDisseminationArea2021 in DEM. It contains the information gathered during the 2021 Census with respect to the population within a dissemination area and the population breakdown of income and earnings by family, individuals, people in economic families, and the prevalence of low income and household income. This data covers the dissemination area in York Region only.Statistics Canada has suppressed the profiles for certain areas due to very low population count. Suppressed areas will appear as NULL values in the attribute table.Please exercise caution if using dissemination areas to roll up (aggregate) to other levels of census geographies, due to greater suppression applied by Statistics Canada at dissemination area. Interested in viewing and interacting with this data even more? Visit the York Region Census Explorer Dashboard to gain high level insights from this data at the municipal and regional level for York Region.For more information regarding this data, please refer to the reference document here: https://www12.statcan.gc.ca/census-recensement/2021/ref/98-500/004/98-500-x2021004-eng.cfm

Net Earnings by Place of Residence in District of Columbia was 52977497.00000 Thous. of $ in October of 2024, according to the United States Federal Reserve. Historically, Net Earnings by Place of Residence in District of Columbia reached a record high of 52977497.00000 in October of 2024 and a record low of 13732492.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for Net Earnings by Place of Residence in District of Columbia - last updated from the United States Federal Reserve on June of 2025.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Yukon-Koyukuk Census Area. The dataset can be utilized to gain insights into gender-based income distribution within the Yukon-Koyukuk Census Area population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Yukon-Koyukuk Census Area, among individuals aged 15 years and older with income, there were 2,208 men and 1,802 women in the workforce. Among them, 640 men were engaged in full-time, year-round employment, while 670 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.72% fell within the income range of under $24,999, while 4.63% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 26.41% of men in full-time roles earned incomes exceeding $100,000, while 10% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

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:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Yukon-Koyukuk Census Area median household income by race. You can refer the same here