In the U.S., median household income rose from 51,570 U.S. dollars in 1967 to 80,610 dollars in 2023. In terms of broad ethnic groups, Black Americans have consistently had the lowest median income in the given years, while Asian Americans have the highest; median income in Asian American households has typically been around double that of Black Americans.

Graph and download economic data for Median Household Income in Massachusetts (MEHOINUSMAA646N) from 1984 to 2023 about MA, households, median, income, and USA.

Compared to the mid-20th century, wage increases in the United States' industrial sector did not change as drastically over the preceding 150 years. Industrial wages in the 1800s peaked in the final year of the American Civil War in 1865, and they were double the value of wages in 1830; yet wages did not exceed this value until the following century. Throughout the 1900s, however, the increase was much more pronounced; between 1943 and 1955 alone, industrial wages doubled, and quadrupled by 1972. In fact, wages in 1985 were over five times higher than they were in 1955, and ten times higher than in 1943. The only times during the 20th century when industrial wages fell was during the post-WWI recession in 1921, and again during the Great Depression in the 1930s.

This table contains index figures of the quantification of the development of the contractual wages (also known as cao wages or negotiated wages), contractual wage costs and contractual working hours of employees in the Netherlands. The table contains index figures on a number of elements contained in the collective labour agreements (in Dutch: cao), namely wages per month and per hour including and excluding special payments, contractual wage costs (per month and per hour) and contractual working hours. In addition, it presents developments calculated on the basis of these indices and the percentage of collective labour agreements completed.

Data available from: 1972, for the annual figures (up to and including 2019 to a limited extent) and from 2020, for the monthly figures and quarterly figures. No index figures based on 2020=100 are yet available for 1972-2019; those figures will be added later in this table.

All the figures from 1972 to 2023 are final. The figures for 2024 and 2025 are provisional.

Changes as of 6 March 2025: The provisional figures for February 2025 have been added and the provisional figures from January 2024 to January 2025 have been revised.

When will new figures be published? The monthly figures are published within one week after the end of the calendar month concerned. This initial figure is called the first-published figure. The index is subsequently reviewed every month based on the additional completed collective labour agreements in that month.

Current figures marked with * are provisional. Up to the second quarter they can be reviewed monthly based on new completed collective labour agreements. In the second quarter the figures of the previous calendar year become definitive (current figures without *).

Abstract copyright UK Data Service and data collection copyright owner.

The purpose of the project was to provide machine-readable economic and social history statistics relating to the whole of Ireland for the period 1821-1971. Further information about the project is available on the QUB Centre for Data Digitisation and Analysis website.


Main Topics:

The dataset contains census of industrial production data covering output, capital employed, wages, persons employed, firm size and location; and trade statistics covering commodities imported and exported and value of trade between countries. All the relevant background material is incorporated either in the documentation files or in the scanned images of the tables of contents, prefaces, and notes in the original source.

The main census of industrial production tables are:

Gross value of output, cost of materials, total net output, salaries, wages, remainder of net output, and number of persons engaged for each industry or trade (1926, 1929, 1932-1971) Republic of Ireland only.

Value of industrial commodities for each industry or trade (1926, 1929, 1932-1947) Republic of Ireland only.

Value of stocks of materials, work in progress, stocks of goods made by the establishment, and stocks of goods purchased for resale without further processing for each industry or trade (1953-1963 and 1966-1971) Republic of Ireland only.

Value of stocks of materials, work in progress, stocks of goods made by the establishment, plant and machinery, and building and land for each industry or trade (1953-1963 and 1966-1971) Republic of Ireland.

Annual change in value of fixed capital in each year including cost of plant, machinery and vehicles, cost of new buildings including extensions and substantial alterations, cost of land and other fixed assets, value of sales of plant and machinery, value of sales of vehicles, value of sales of land and buildings for each industry or trade (1945-1954, 1956-1965 and 1968-1971) Republic of Ireland only.

Value of various fuels consumed by each industry and trades (1926, 1929 and 1932-1947) Republic of Ireland only.

Total number of proprietors, salaried employees, industrial wage earners, other wage earners for each industry or trade, grouped by gender and age under or over 18 (1926, 1929, 1932-1947) Republic of Ireland only.

Wage rates both for salaried employees and wage earners for each industry or trade (1926, 1929, 1936-1947) Republic of Ireland only.

Average earnings per week and average hours worked by week for each industry or trade, grouped by gender and age under or over 18 (1937-1944, 1958-1967 and 1969-1971) Republic of Ireland only.

Number of wage earners for each industry or trade grouped by wage rate and gender(1937, 1958-1967) Republic of Ireland only.

Number of wage earners for each industry or trade grouped by wage rate and age under or over 18 (1938-1944) Republic of Ireland only.

Size of labour force in firms for each industry or trade (1929, 1935-1938 and 1944-1947) Republic of Ireland only.

Number of firms, gross output excluding excise duty, net output, and average number of persons engaged grouped by county for each industry or trade (1936-1947) Republic of Ireland only.

Value of sales and work done, value of stocks of finished products and work in progress at beginning and end of year, cost of outward transport of goods sold, gross output, net output, persons employed, output per person employed, costs of purchases of materials and fuel, stocks of materials and fuels at beginning and end of year, cost of inward transport of materials and fuels used, and amount paid for work given out for each industry or trade (1951-1957) Northern Ireland only.

Gross output, sales, purchases of materials and fuels, net output, net output per person, persons employed, and wages and salaries paid for each industry or trade (1963 and 1968-1972) Northern Ireland only.

Gross output, cost of materials and amount paid to other firms for work given out, cost of inward transport, net output, persons employed, and output per person employed for each industry or trade (1930, 1935 and 1949-1968) Northern Ireland only.

Number of working proprietors and directors, number of administrative, technical and clerical staff, number of operatives, salaries of administrative, technical and clerical staff, earnings of operatives for each industry or trade (1949-1972) Northern Ireland only.

Value of plant and machinery and plant acquired during the year, value of vehicles acquired during year, capital expenditure on new buildings, disposal of plant, machinery and vehicles for each industry or trade (1949-1968) Northern Ireland only

New building work, land and existing buildings, plant and machinery, vehicles, total disposals, net capital...

AHE: sa: PW: EH: Vocational Rehabilitation Services data was reported at 20.240 USD in Jan 2025. This records an increase from the previous number of 20.150 USD for Dec 2024. AHE: sa: PW: EH: Vocational Rehabilitation Services data is updated monthly, averaging 8.950 USD from Jan 1972 (Median) to Jan 2025, with 637 observations. The data reached an all-time high of 20.240 USD in Jan 2025 and a record low of 1.480 USD in Jan 1972. AHE: sa: PW: EH: Vocational Rehabilitation Services data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G071: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

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 Wellston. The dataset can be utilized to gain insights into gender-based income distribution within the Wellston population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Wellston, among individuals aged 15 years and older with income, there were 1,972 men and 2,088 women in the workforce. Among them, 947 men were engaged in full-time, year-round employment, while 834 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.60% fell within the income range of under $24,999, while 12.23% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 16.16% of men in full-time roles earned incomes exceeding $100,000, while 1.80% 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 Wellston median household income by race. You can refer the same here

United States Avg Hourly Earnings: sa: PW: Retail Trade data was reported at 15.870 USD in Jun 2018. This records a decrease from the previous number of 15.910 USD for May 2018. United States Avg Hourly Earnings: sa: PW: Retail Trade data is updated monthly, averaging 8.755 USD from Jan 1972 (Median) to Jun 2018, with 558 observations. The data reached an all-time high of 15.910 USD in May 2018 and a record low of 3.460 USD in Jan 1972. United States Avg Hourly Earnings: sa: PW: Retail Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Retail Trade (CEU4200000008) from Jan 1972 to Feb 2025 about nonsupervisory, earnings, establishment survey, hours, retail trade, wages, production, sales, retail, employment, and USA.

Abstract copyright UK Data Service and data collection copyright owner.

The aim of these studies is to examine the positions of the low paid, the subemployed (men and women unemployed for over 4 weeks in the last 12 months), the disabled and immigrants in two local labour markets. There were two main sources of data:
1) All members not in full-time education and under 71 of a simple random sample of households in 2 urban areas (230).
2) Follow-up survey of all individuals in 1, who fell into any one of four special categories (231).
i) low paid (less than 55p for males over 18, less than 35p for females over 18)
ii) subemployed (unemployed for more than 4 weeks in last 12 months)
iii) disabled
iv) immigrants (not born in UK or Eire)

Main Topics:

Attitudinal/Behavioural Questions
This dataset contains data from source 1.
a) Terms and Conditions of Employment
Holidays, sick pay, pension, notice, contract, journey to work (time, weekly cost), normal starting time, outdoors or indoors (shelter, tea/coffee, toilet, washing facilities, place to eat, place for storage, first aid, phone call, heating), place for coats etc., adjustable lighting, details of fringe benefits received.
Amount of heaving, lifting, sitting down, whether work dangerous, noisy or tiring. Security, promotion prospects, trade union (membership), reasons if no trade union, opinion on whether union would be advisable (reasons), reasons for non-membership. Number of employees, immediate work group, autonomy, number in same job (as a proportion of the labour force), origin of workmates, earnings relative to others, low paid men/women. Influence on pay (union/employer or other), assessment of employer (reasons). Net/gross wages last time paid, hours worked/overtime during last pay week, period of payment, number of weeks worked in past year, average hourly earnings, variations in pay during last month (specific details). Promotion/demotion (reasons and description of job change).
Labour force status, internal movement, number of employers/ occupations/industries/jobs/skill level changes in last 5 and last 10 years. Number of job changes, number of periods of unemployment, length of time unemployed, size of works closure, redundancy pay received, job offers, help finding a job (type). Average gross/net earnings, average hours worked/period of payment. Additions to pay, tax rebate, tax paid direct, work expenses, number of weeks paid holiday, income fluctuations (reasons), deductions, time off work (reasons), sick pay, number of weeks sickness, strike pay, number of weeks on strike, pay for other reasons, number of weeks absent for other reasons. Length of time out of work/on short time/part time (reasons).
b) Previous occupation
Reason for leaving; type; location; hours per week; gross/net earnings; payment period; date left work.
c) First job
Social class; source of information; starting date; method of application; reasons for acceptance.
d) Second job
Social class; gross/net income.
e) Housewives
Attitude to work; reasons for not working; whether job taken if help given with family; suitable conditions-hours, location, pay, type of job.
Method of job search, interviews, refusals, whether job held in last 5 years. Previous job; type, employment status, location, hours per week, gross/net earnings, payment period, reason for leaving, date of leaving.
f) Retired
As for housewives, plus reason for retirement; when started drawing pension.
Background Variables
Age, sex, marital status, place of birth, ethnic origin, educational status, school-leaving age, number of years of schooling, qualifications, further education, job-specific training. Driving licence, general health condition, specific troubles/illnesses, health effect on work, employment status. Number of households at address, number in household with: four or more weeks unemployed in last 12 months; low pay; disability; number of immigrants. Number in household, number aged 71 and over, number aged 15 and under, number aged 15 and over in education, number currently with paid job. Household type, number of rooms, amenities, structural defects, tenure, business purposes, net household income, rent rebate, number of weeks rent paid, rates, rate rebate (owner occupiers only), whether house paid for, presence of lodgers/boarders and sub-tenants, persons per room, cost of repairs over previous year, housing cost weekly. Family allowances received, retirement pension, widows pension.
Benefits received - sickness, unemployment, supplementary, industrial injury, industrial disability, war disability, maternity, death. Income received from property, assets and savings (value), number of weeks worked in past year, average hourly earnings, length of residence in study area/in North East/in GLC, local papers read.
Relatives in area (father, mother, siblings, children,...

United States Avg Hourly Earnings: sa: PW: Wholesale Trade data was reported at 25.220 USD in Jun 2018. This records an increase from the previous number of 25.050 USD for May 2018. United States Avg Hourly Earnings: sa: PW: Wholesale Trade data is updated monthly, averaging 13.220 USD from Jan 1972 (Median) to Jun 2018, with 558 observations. The data reached an all-time high of 25.220 USD in Jun 2018 and a record low of 4.500 USD in Jan 1972. United States Avg Hourly Earnings: sa: PW: Wholesale Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.

United States AHE: PW: OS: Professional Organizations data was reported at 44.100 USD in Nov 2024. This records a decrease from the previous number of 44.440 USD for Oct 2024. United States AHE: PW: OS: Professional Organizations data is updated monthly, averaging 17.140 USD from Jan 1972 (Median) to Nov 2024, with 635 observations. The data reached an all-time high of 45.300 USD in Apr 2024 and a record low of 2.890 USD in Jun 1972. United States AHE: PW: OS: Professional Organizations data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G070: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers.

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 Royersford. The dataset can be utilized to gain insights into gender-based income distribution within the Royersford population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Royersford, among individuals aged 15 years and older with income, there were 1,972 men and 1,828 women in the workforce. Among them, 1,259 men were engaged in full-time, year-round employment, while 895 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 15.41% fell within the income range of under $24,999, while 10.17% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 11.20% of men in full-time roles earned incomes exceeding $100,000, while 7.82% 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 Royersford median household income by race. You can refer the same here

Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Utilities (CEU4422000008) from Jan 1972 to Feb 2025 about nonsupervisory, utilities, earnings, establishment survey, hours, wages, production, employment, and USA.

United States AHE: sa: PW: Mfg: Durable: Industrial Machinery data was reported at 31.140 USD in Nov 2024. This records an increase from the previous number of 30.590 USD for Oct 2024. United States AHE: sa: PW: Mfg: Durable: Industrial Machinery data is updated monthly, averaging 14.600 USD from Jan 1972 (Median) to Nov 2024, with 635 observations. The data reached an all-time high of 31.140 USD in Nov 2024 and a record low of 3.600 USD in Jan 1972. United States AHE: sa: PW: Mfg: Durable: Industrial Machinery data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G071: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

Die Löhne in Japan stiegen im Dezember 2024 um 4,80 Prozent gegenüber dem gleichen Monat des Vorjahres. Diese Werte, historische Daten, Prognosen, Statistiken, Diagramme und ökonomische Kalender - Japan - Lohnwachstum.

Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Transportation and Warehousing (CEU4300000008) from Jan 1972 to Feb 2025 about nonsupervisory, warehousing, earnings, transportation, establishment survey, hours, wages, production, employment, and USA.

Graph and download economic data for Average Weekly Earnings of Production and Nonsupervisory Employees, Wholesale Trade (CEU4142000030) from Jan 1972 to Feb 2025 about nonsupervisory, wholesale, earnings, trade, establishment survey, production, employment, and USA.

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 East Manchester township. The dataset can be utilized to gain insights into gender-based income distribution within the East Manchester township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within East Manchester township, among individuals aged 15 years and older with income, there were 3,088 men and 3,134 women in the workforce. Among them, 1,972 men were engaged in full-time, year-round employment, while 1,281 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.80% fell within the income range of under $24,999, while 4.53% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 23.38% of men in full-time roles earned incomes exceeding $100,000, while 13.43% 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 East Manchester township median household income by race. You can refer the same here