Wages in Manufacturing in the United States increased to 28.64 USD/Hour in February from 28.54 USD/Hour in January of 2025. This dataset provides - United States Average Hourly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Lewis County: 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 151(3.17%) households where the householder is under 25 years old, 1,021(21.46%) households with a householder aged between 25 and 44 years, 1,950(40.99%) households with a householder aged between 45 and 64 years, and 1,635(34.37%) households where the householder is over 65 years old.
• In Lewis County, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

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

About this dataset

Context

The dataset illustrates the median household income in Delaware County, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Delaware County increased by $1,950 (3.80%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 4 years.

https://i.neilsberg.com/ch/delaware-county-in-median-household-income-trend.jpeg" alt="Delaware County, IN median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

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.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous 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 Delaware County median household income. You can refer the same here

Ziel der Untersuchung ist, über die seit der Vorkriegszeit eingetretenen Veränderungen der Lohn- und Gehaltssituation zu informieren. Unter „Vorkriegszeit“ werden die Jahre der Weimarer Republik (im engeren Sinne die Jahre von 1924 bis 1929), unter „Nachkriegszeit“ die Jahre seit 1959 verstanden (bis 1954). Das Hauptgewicht des Vergleichs liegt auf der Situation der Bundesrepublik, deren Verhältnisse mit denen der Vorkriegszeit verglichen werden. Für beide Perioden wird für sämtliche zu vergleichenden Jahre eine gemeinsame Indexbasis zugrunde gelegt. Diese gemeinsame Basis stellt das Jahr 1928 dar. „Gerade wegen der ‚Vergleichspriorität‘, die der Gegenwart zugemessen wird, war ein Jahr aus der Weimarer Zeit als Basisjahr heranzuziehen. Die Wahl fiel auf das Jahr 1928, weil für Einkommensbetrachtungen, die einen ‚isolierten‘ Vergleich intendieren, Jahre konjunktureller Höhepunkte am geeignetsten sind. Zwar hatte die Konjunkturentwicklung der Weimarer Zeit erst im Verlaufe des Jahres 1929 ihren Höhepunkt erreicht; da sich aber im Jahre 1929 der Einfluss der Beginnenden Krise bereits stark bemerkbar machte, ist das Jahr 1928 als das Jahr mit der gleichsam ‚reinsten‘ Hochkonjunktur der Vorkriegszeit anzusehen und wurde deshalb als Basisjahr genommen. In der Untersuchung“ (Menges/Kolbeck, a. a. O., S. XII). In der Untersuchung werden zwei Typen des Periodenvergleichs unterschieden. (1) „Eliminierter Vergleich“: Vergleich, dem ausschließlich das Gebiet der Bundesrepublik Deutschland (Gebietsstand von 1950) zugrunde liegt; (2) „Uneliminierter Vergleich“: Vergleich, dem für die Jahre bis 1945 das Reichsgebiet (Gebietsstand von 1925) und für die Jahre ab 1945 das Gebiet der Bundesrepublik Deutschland (Stand 1950) zugrunde liegt. Der weitaus größte Teil der präsentierten Daten stellen Schätzungen dar, die „in jedem Falle fundiert sind, aber doch häufig nur als grob gelten können“ (Menges/Kolbeck, a. a. O., S. VII). Datentabellen in HISTAT: Die ‚Datentabellen können grob den folgenden inhaltlichen Schwerpunkten zugeordnet werden: A. Strukturdaten (Erwerbspersonen, Altersgliederung der Arbeitnehmer) B. Die Kaufkraft des Geldes C. Löhne und Gehälter in ihrer Gesamtheit im Vergleich zum Volkseinkommen D. Die Löhne und Gehälter im Einzelnen: Arbeiter E. Die Löhne und Gehälter im Einzelnen: Angestellte F. Die Löhne und Gehälter im Einzelnen: Zusammenfassung G. Ergänzende Beurteilung: Haushaltseinkommen, Arbeitszeit, Sozialversicherung, Arbeitslosigkeit

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Cornwall town: 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 55(1.14%) households where the householder is under 25 years old, 1,308(27.12%) households with a householder aged between 25 and 44 years, 1,950(40.43%) households with a householder aged between 45 and 64 years, and 1,510(31.31%) households where the householder is over 65 years old.
• In Cornwall town, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

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