Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

The dissolution of the Soviet Union saw a drastic fall in income rates across the region. In 1950, after the economic recovery period that followed the Second World War, income per capita in the Soviet Union was around half of Western Europe's rate. These figures did increase in the subsequent decades, before falling throughout the 1970s and 1980s, yet, in the final years of the communist system in Europe, income per capita was still around half of Western Europe's rate (albeit slightly lower than in1950).

By 2000, however, these figures had dropped below a quarter of Western Europe's income per capita. Most of this downturn occurred before 1996, and the economic situation in Russia, Ukraine, and the Baltic states began to improve in the final years of the century. It would take another few years before the economic situation of the other former-Soviet states would also begin to stabilize.

Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2023 about family, median, income, real, and USA.

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.

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.

Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 1900, GDP per capita in Southern Europe was just over half of the rate in Western Europe, while it was just 39 percent across Central and Eastern Europe. By 1950, Central and Eastern Europe's GDP per capita had risen to 51 percent of Western Europe's, while Southern Europe's GDP per capita had fallen to 44 percent. Post-war recovery across the south was comparatively slower than the West due to the lack of American investment in the fascist states of Spain and Portugal, the civil war in Greece, and the lack of industrialization in Italy. As these factors reversed or concluded in the 1950s, Southern Europe's economic development fell more in line with that of the rest of Western Europe in this decade, with Italy, in particular, emerging as one of the world's leading economies.

Aim of the study is to render the income distribution and income stratification in the Federal Republic of Germany (FRG) form 1950 to 1970.

Topics: Tabulations in Online-Database HISTAT (Historical Statistics):

A. Synopses A.01 Sources of liquid income in percent (1950-1970) A.02 Personal income distribution in percent (1950-1970) A.03 Distribution of household-income in percent (1950-1970) A.04 Average income per household on social position of head of the household, Index (1950-1970) A.05 Distribution of private households on incomg-groups (1950-1970) A.06 Distribution of private households on size of household and incomg-group (1950-1970) A.07 Average yearly income per household in DM (1950-1970) A.08 Distribution of private households on number of persons receiving income and on income groups (1950-1970)

B. Development of functional and personal income B.01a Private households on household size and social position of head of the household in FRG in thousand (1950-1970) B.01b Private households on social position of head of the household and on income-receive in FRG in thousand (1950-1970) B.02 Development of household income in FRG in billions DM (1950-1970) B.03a Net-total income of the entire private households in the FRG im billions DM (1950-1970) B.03b Net-average income of the entire privat households in the FRG in DM (1950-1970)

C. Number of Net-income of private households C.01a Number of net-income of the entire private households in the FRG on income groups (1950-1970) C.01b Number of net-income of Self-Employed households in the FRG on income groups (1950-1970) C.01c Number of net-income of white-collar worker households in the FRG on income groups (1950-1970) C.01d Number of net-income of blue-collar worker households in the FRG on income groups (1950-1970) C.01e Number of net-income of retiree households in the FRG on income groups (1950-1970) C.02 Number of Households in the FRG on constant income groups in thousand (1950-1970) C.03 Net-annuity of housholds in the FRG on constant income groups in billions DM (1950-1970)

Z. Compendious statistical value schedules (1950-1985) Z.01 Statistical values of stratification of private household´s net-annuity and of families´ net-annuity on social groups (1950-1985) Z.02 Average monthly household income on social groups (1950-1974)

Graph and download economic data for Real Median Household Income in New York (MEHOINUSNYA672N) from 1984 to 2023 about NY, households, median, income, real, and USA.

Graph and download economic data for Real Median Household Income in Michigan (MEHOINUSMIA672N) from 1984 to 2023 about MI, households, median, income, real, and USA.

Compared to Western Europe, the development of average incomes differed between Scandinavia and and East-Central Europe between 1900 and 1950. Over these five decades, income in Scandinavia gradually caught up with the rest of Western Europe, eventually overtaking it by the middle of the century. By contrast, income across East-Central Europe fell further behind the west over this period, falling from 42 percent of the west's rate in 1900 to 37 percent in 1950.

In 2023, the usual median hourly rate of a worker's wage in the United States was 19.24 U.S. dollars, a decrease from the previous year. Dollar value is based on 2023 U.S. dollars. In 1979, the median hourly earnings in the U.S. was 17.48 dollars.

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 GeldesC. Löhne und Gehälter in ihrer Gesamtheit im Vergleich zum VolkseinkommenD. Die Löhne und Gehälter im Einzelnen: ArbeiterE. Die Löhne und Gehälter im Einzelnen: AngestellteF. Die Löhne und Gehälter im Einzelnen: ZusammenfassungG. Ergänzende Beurteilung: Haushaltseinkommen, Arbeitszeit, Sozialversicherung, Arbeitslosigkeit

Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Feb 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

The present study aims to estimate the development of employment and wages in Germany based on accident insurance statistics. Data on the number of insured persons allow an estimation of employment by economic groups. Thereby it is important to take the increasing share of insured persons in the entire labor force in consideration. Data from the accident insurance is suitable for wage statistics because besides the values of the earned wages it also contains numbers on the yearly average of employees corrected for the number of working days. The investigation period is from 1888 to 1954 with the exception of the years of war and hyperinflation. The first three years after the introduction of the accident insurance are not taken into account as there are no reliable documents for this period. The analysis is restricted to the economic sectors which were subject to compulsory insurance since the beginning of the investigation period: industry, crafts and traffic. In the sector of traffic extra sources for data on railways were used. The increasing significance of the industrial sector regarding the overall economic employment volume as well as the income generation can be seen looking at the development of the number of employees and wages in relation to the per capita income growth. The industrialization process leads to structural changes in the entire economy which results in a steady relative decline in the agrarian sector. Within the industrial sector most chances and developments are in favor of the industries producing mainly investment goods. This process causes that the growth rates of industrial employment, of average wages and of the wage level primarily depend on those industry groups. Due to these different growth processes within the industrial sector a theoretical differentiation of the wage structure of both groups is necessary because the investment goods industries which has a higher need of expansion need to pay higher wages in order to get the necessary workforce for their expansion. At the beginning of the first world war the wage difference between the two industry groups has increased to 36,5% in 1913 ( it was only 26,5% in 1888). But in the following years there is not such a strong tendency. Probably the increasing power of trade unions caused a consolidation of the “traditional” wage structure. This is also supported by the fact that wage differences between all industries are quite small in the period after the First World War. The increases in real wages during the investigation period are smaller than 100%. This results in a yearly average increase of ca 1%. This is a development of real wages on a significantly lower level compared to other countries such as Sweden, France, Great Britain and The US. A reason for this is the missing real wage increase during the years of war and the first years after the war.

Register of tables in HISTAT: - Working population in thousands with their main profession in Germany (1882-1950) - Employees in Germany (1882-1954) - Index number for costs of living, nominal wages and real wages in Germany (1888-1954) - Development of average wages in the industry groups in the German (1888-1912) - Shares of different industry groups in the total labor force in Germany (1882-1954)

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

Graph and download economic data for Per Capita Personal Income in Hawaii (HIPCPI) from 1950 to 2023 about HI, personal income, per capita, personal, income, and USA.

About this dataset

Context

The dataset illustrates the median household income in Waterford, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 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 2023, the median household income for Waterford decreased by $1,950 (2.60%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 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 Waterford median household income. You can refer the same here

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century.Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance. Topics Timeseries data available via the downloadsystem HISTAT Data excerpt: earned income and capital income(income compilation, the following factors have been taken into consideration): - average yearly earned income in mining and salt-mines (1850-1959).- average yearly earned income in industry and handicraft (1850-1959).- average yearly earned income in traffic system without German Federal Railways, German Federal Mail, and shipping (1950-1959).- average yearly earned income in traffic system (1850-1959).- average yearly earned income in trade, banks, insurances, and hotel and catering industry (1925-1939).- average yearly earned income in trade, banks, insurances, and hotel and catering industry (1950-1960).- average yearly earned income of employed in the public service (1851-1913).- average yearly earned income in the public service (1925-1950).- average yearly earned income in other services (1850-1959).- average yearly earned income by economic sectores (1850-1959).- earned income by economic sectores (1850-1959).- rate of return of the industrial sector´s stock corporations (1926-1959).- distribution of net social product in factor costs in current prices (1850 – 1959).

For Western Europe's economies in the late twentieth century, there were regional differences in the development of GDP per capita in many of the northern, industrialized nations and those in the south and on the northern periphery. In 1950, GDP per capita was lower than the regional average in these countries due to the lower levels of industrialization. The south then managed to make up a lot of ground by 1973. During Western Europe's "Golden Age of Capitalism," however, Ireland actually lost ground on the rest of the region due to its isolationist policies and inability to industrialize at the same pace. The last quarter-century of the decade saw this trend reverse, with Ireland's GDP per capita eventually growing above the regional average due to the influx of U.S. investment and its increased integration with European markets. Finland, which had a fairly unique position as being a West Bloc country within the Soviet sphere of influence, did experience some economic success during the Cold War through its exports into the East Bloc. The dissolution of the Soviet Union saw Finland rapidly restructure its economy to compete with the west, which caused GDP to fall by 14 percent between 1989 and 1993. By the end of the decade, however, this transition saw Finland emerge as a global leader in the export of high-tech goods, and income surpassed Swedish figures. By 2004, Ireland and Finland were respectively ranked as the top two leading nations in high-tech manufacturing by the OECD.