In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

In 2023, the most common salary in Spain fell from 18,500 euros to nearly 14,600 euros per year. In that year, about 4.2 percent of all workers in Spain received that amount.

In 2023, the real median household income in the state of Alabama was 60,660 U.S. dollars. The state with the highest median household income was Massachusetts, which was 106,500 U.S. dollars in 2023. The average median household income in the United States was at 80,610 U.S. dollars.

The median annual earnings in the United Kingdom was 37,430 British pounds per year in 2024. Annual earnings varied significantly by region, ranging from 47,455 pounds in London to 32,960 pounds in the North East. Along with London, two other areas of the UK had median annual earnings above the UK average; South East England, and Scotland, at 39,038 pounds and 38,315 pounds respectively. Regional Inequality in the UK Various other indicators highlight the degree of regional inequality in the UK, especially between London and the rest of the country. Productivity in London, as measured by output per hour, was 33.2 percent higher than the UK average. By comparison, every other UK region, except the South East, fell below the UK average for productivity. In gross domestic product per head, London was also an outlier. The average GDP per head in the UK was 31,947 pounds in 2021, but for London it was 56,431 pounds. Again, the South East's GDP per head was slightly above the UK average, with every other region below it. Within London itself, there is also a great degree of inequality. In 2021, for example, the average earnings in the historic City of London borough were 1,138 pounds per week, compared with 588 pounds in Redbridge, a borough in the North East of London. Wages finally catch up with inflation in 2023 After the initial economic disruption caused by the COVID-19 pandemic subsided, wages began to steadily grow in the UK. This reached a peak in June 2021, when weekly wages for regular pay were growing at 7.3 percent, or 5.2 percent when adjusted for inflation. By that November, however, prices began to rise faster than wage growth, with inflation surging throughout 2022. In October 2022, for example, while regular pay was growing by 6.1 percent, the inflation rate had surged to 11.1 percent, Although inflation peaked in that month, it wasn't until June 2023 that wages started to outpace inflation. By this point, the damage caused by high energy and food inflation has precipitated the worst Cost of Living Crisis in the UK for a generation.

In November 2024, the average hourly earnings of all employees in the United States was at 11.25 U.S. dollars. The data have been seasonally adjusted. The deflators used for constant-dollar earnings shown here come from the Consumer Price Indexes Programs. The Consumer Price Index for All Urban Employees (CPI-U) is used to deflate the data for all employees. A comparison of the rate of wage growth versus the monthly inflation since 2020 rate can be accessed here. Real wages are wages that have been adjusted for inflation.

The median annual earnings for full-time employees in the United Kingdom was approximately 37,430 British pounds in 2024, compared with 34,963 pounds in the previous year. At the start of the provided time period, in 1999, the average full-time salary in the UK was 17,803 pounds per year, with median earnings exceeding 20,000 pounds per year in 2002, and 30,000 by 2019. Wages continue to grow faster than inflation in 2024 Between November 2021 and July 2023 inflation was higher than wage growth in the UK, with wages still outpacing inflation as of April 2024. At the peak of the recent wave of high inflation in October 2022, the CPI inflation rate reached a 41-year-high of 11.1 percent, wages were growing much slower at 6.1 percent. Since that peak, inflation remained persistently high for several months, only dropping below double figures in April 2023, when inflation was 8.7 percent, down from 10.1 percent in the previous month. For 2023 as a whole, the average annual rate of inflation was 7.3 percent but is forecast to fall to 2.2 percent in 2024, and 1.5 percent in 2025. Highest and lowest-paid occupations As of 2023, the highest-paid occupation in the UK was that of Chief Executives and Senior Officials, who had an average weekly pay of approximately, 1,576 pounds. By contrast, the lowest-paid occupation that year was that of retail cashiers, and check-out operators, who earned approximately 383 pounds a week. For industry sectors as a whole, people who worked full-time in the electricity, gas, steam and air conditioning supply sector had the highest average earnings, at 955 pounds a week, compared with 505 pounds a week in the accommodation and food services sector, the lowest average earnings in 2023.

The average monthly salary for South Africans who were employed in the formal non-agricultural sector was just over 26,800 South African rands (comparable to roughly 1,500 U.S. dollars) in November 2023, which represented a yearly increase of tw0 percent. During the period under review, the overall growth trend was positive, with the earnings increasing by 24.4 percent from 21,500 South African rands (approximately 1,180 U.S. dollars) in November 2018.    Minimum wage and highest-paid professions    Starting in March 2023, the minimum hourly wage in the country increased to 25.42 South African rands (comparable to 1.40 U.S. dollars), which represented an increase of 9.6 percent from 23.19 South African rands (1.27 U.S. dollars) per hour in the preceding year. On the other hand, professionals in executive and change management positions were paid the highest salaries in South Africa, with an average of 74,000 U.S. dollars yearly. Individuals with jobs in retail, trade, and craft followed, receiving an average of 66,000 U.S. dollars per annum.       Highest unemployment among Black South Africans In 2022, the unemployment rate in South Africa was nearly 30 percent following an increasing trend since 2008. The rate was highest among Black South Africans reaching as high as 36.8 percent in the second quarter of 2023. Moreover, Colored South Africans followed with around 22 percent, while white South Africans had a much lower unemployment rate of over 7 percent.

The net income of C & A Mode with headquarters in Germany amounted to -66.66 million euros in 2022. The reported fiscal year ends on February 27.Compared to the earliest depicted value from 2018 this is a total decrease by approximately 110.56 million euros. The trend from 2018 to 2022 shows ,however, that this decrease did not happen continuously.

This statistic depicts the average prices for media outlets in Italy in 2019, by pay mode. According to data, the average price for freemium media subscriptions was 11.66 euros a month.

In 2022, 22.6 percent of the Canadian population had an annual income of 100,000 Canadian dollars or more. Moreover, some 19 percent had an annual income between 60,000 and 79,999 Canadian dollars, representing the second largest group.

Abstract

This survey provides salaries & wages statistics at the national level. The survey also provides aggregate data by state as well as urban and rural areas. The survey was carried out using the household approach covering all states in Malaysia. Salaries & Wages Survey uses the personal interview method. During the survey period, trained interviewers visit households in selected living quarters (LQs) to collect demographic information on all household members and salaries & wages particulars of household members aged 15 years and over. The main objective is to collect information on monthly salaries & wages form the principal occupation of paid employee in public and private sectors. The main statistics reported are median and mean monthly salaries & wages by sex, ethnic group, educational attainment, strata, state, occupation and industry. The results of these statistics is published in the 'Salaries & Wages Survey Report'.

Starting with the Salaries & Wages Report 2017, the main statistics presented in the report is for the citizens. Meanwhile, the salaries & wages selected statistics consists of non citizens is shown in a separate table.

Geographic coverage

This survey provides estimates at national and state level as well as urban and rural areas.

Geographic coverage notes

National level.

Analysis unit

Household/Individual

Universe

All household members and salaries & wages particulars of household members aged 15 years and over.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Monthly

Sampling procedure

The survey is carried out using probability sampling through household approach comprising Malaysian citizens and non-citizens. The survey is carried out using probability sampling through household approach comprising Malaysian citizens and non-citizens.

Mode of data collection

Face-to-face [f2f]

According to a survey conducted by the Electronic Business Group in 2019, a total of 81 percent of respondents in France who purchased online goods declared using the secret code in order to authenticate their purchases. Furthermore, 50 percent of them declared using the secret code as an authentication mode often. Handwritten signatures were the second most utilized authentification service, of which 16 percent used this method often.

Abstract

The main objectives of the Household Income, Expenditure and Basic Amenities Survey 2019 are : - to gather information on the income distribution and consumption patterns of the household - to identify target groups such as B40 and poor households - to measure accessibility of basic amenities enjoyed by the household - to use expenditure data as an inputs for Consumer Price Index weight

Geographic coverage

All districts in Malaysia, rural and urban areas

Analysis unit

Household

Universe

Coverage of the survey are households living in private living quarters only.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 01/04/2016

Update Frequency: 10 years

Survey period: Census of Population 2000

Footnotes: Household income from work includes employer CPF contributions. *Excludes income of maids and those working overeas for six months or more.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/9004

The Annual Survey of Hours and Earnings (ASHE) is the most comprehensive source of earnings information in the United Kingdom. It provides information about the levels, distribution and make-up of earnings and hours paid for employees by gender and full-time/part-time working. Estimates are available for various breakdowns including industries, occupations, geographies and age-groups within the UK. ASHE is used to produce hours and earnings statistics for a range of weekly, annual and hourly measures. ASHE is the official source of estimates for the number of jobs paid below the national minimum wage. ASHE is also used to produce estimates of the proportions of jobs within workplace pension categories. ASHE is based on a one per cent sample of employee jobs taken from HM Revenue & Customs (HMRC) PAYE records. Information on earnings and hours is obtained from employers and treated confidentially. ASHE does not cover the self-employed nor does it cover employees not paid during the reference period. The datasets used for the 2011 datasets are the Revised datasets and are published a year after the provisional. The dataset is split into several different categories including all employees, all male employees and all female employees. Datasets are further categorised by mode of working i.e. Full or Part Time. Full datasets are avaiable from The Office for National Statistics. 2014-06-13T14:25 Licence: None

Abstract

The employment and earnings survey was designed to collect data on employment, earnings by occupations, hours of work, details on job vacancies and occupational accidents and injuries. The objectives were; i) To generate the current and potential size and composition of the Uganda’s workforce; ii) To asses the characteristics of the existing manpower levels in the country in the selected sectors; iii) To form a baseline monitor salary and wage rate changes over a specific period of time; iv) To monitor sector remuneration movements i.e. changes in salary and wage rates paid in the private and public sectors; v) To form a baseline for monitoring future industry and occupation movements i.e. industry group changes and major occupational groups.

Geographic coverage

The survey covered 16 districts.

Analysis unit

Firm/establishment

Universe

The survey was covered all establishments employing 15 persons or more in the sampled districts.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey was intended to cover all establishments employing 15 persons or more. These were selected from the Uganda Business Register of 2006. The study covered only seven types of industries namely Manufacturing, Construction, Hotels, Financial intermediation, Education (private schools), Health (private health institutions) and Horticulture. Due to resource constraints, only establishments in 16 districts were covered. The selection of districts was based on the total number of employment. The selected districts collectively had a total employment of about 92,000 persons out of the 111,000 persons in all the districts according to the Uganda Business Register and this represented 83 percent of the total number of persons employed. Out of the 1,554 establishments employing 15 and more employees, the selected districts had a total of 1,204 establishments (77 percent).

Mode of data collection

Face-to-face [f2f]

Research instrument

The data collected by the questionnaire included; Identification particulars of the establishment, Industry of the establishment, Period covered (reference period, which was March 2007 in this survey), Occupational hierarchy of the establishment, Usual number of working days per week, Normal Hours of Work per Week, Number of employees by sex, Mode of payment, Wages and Salaries Regular Allowances, Employment Status, Job vacancies that existed in a given quarter, Occupational accidents and diseases and their causes.

Cleaning operations

To ensure good quality of data, a system of double entry was used. A manual system of editing questionnaires was set-up and Statistical Assistants further assessed the consistency of the data collected. A machine editing computer program for verification and validation was developed and operated during data processing.

Response rate

Out of the 1,204 establishments that were selected, only 664 establishments responded to the questionnaires giving a 55 percent response rate. Four establishments were covered in Masindi and Hoima districts.

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 29/03/2016

Update Frequency: 10 years

Survey period: General Household Survey 2005

Footnotes: Income from work includes employer CPF contributions.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8844

Abstract

The 2021 Tonga HIES is the new update of this kind, after the 2015/2016, 2009 & 2001 versions. This survey aims to provide indicators on Household Living Standard using monetary aspect (amount of income and expenditure), non-monetary aspect (calory consumed, assets own, imputed rents…) and more social approach (education, health, food security status…). Survey outputs have multiple uses in various domains such as public health (food nutrition analysis), economic development (poverty), system of National Account (consumption aggregates), and they represent a key source of information to populate many National SDGs.

Geographic coverage

National coverage.

Analysis unit

Household and Individual.

Universe

Household Income and Expenditure Survey (HIES) covered all persons who were considered to be usual residents of private dwellings.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Tonga 2021 HIES sample design is based on a two stages sample design, where each stage corresponds to a random selection: - Stage 1: random selection of census blocks (using the probability of selection proportional to size) - Stage 2: random selection of households (from the selected blocks). Within each selected blocks, 12 households were randomly selected (uniform probability) The survey aims to disseminate results at strata level where stratas are defined on geographical combination of provinces and urban rural areas. The sample sizes were calculated at the strata level, with the aim of minimizing the sampling error (and relative sampling error) within each strata.

The sampling frame used was the 2016 population census.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The 2021 Tonga Household Income and Expenditure Survey (HIES) questionnaire was developed in English and Tongan language and it follows the Pacific Standard HIES questionnaire structure. It is administered on CAPI using Survey Solution, and the diary is no longer part of the form. All transactions (food, non food, home production and gifts) are collected through different recall sections during the same visit. The traditional 14 days diary is no longer recommended in the region. This new method of implementing the HIES present some interesting and valuable advantages such as: cost saving, data quality, time reduction for data processing and reporting. Only a sub sample of the selected HIES sample was asked to fill a 2-week diary (in addition to the core recall HIES questionnaire). But only the recall sections are used to compute the HIES outputs and aggregates, this sub sample HIES diary was made for research purposes.

Below is a list of all modules in this questionnaire: -Household ID -Demographic characteristics -Education -Health -Functionality -Communication -Alcohol -Other individual expenses -Labour force -Fisheries & hunting -Handicraft -Dwelling -Assets -Home maintenance -Vehicle -International trips -Domestic trips -Household services -Financial support -Other household expenditure -Ceremonies -Remittances -Food insecurity -Livestock & aquaculture -Agriculture parcel -Agriculture vegetables -Agriculture rootcrops -Agriculture other plants -Agriculture fruits -Legal services.

The survey questionnaire can be found in this documentation.

Cleaning operations

Once the data was collected using Survey Solutions, it was then edited on Stata (version 15).

Response rate

The final response rate including replacement from List B can be found below:

-Tongatapu urban: 95% -Tongatapu rural: 93.3% -Vava'u: 92.5% -Ha'apai: 96.1% -Eua: 99.2% -Ongo Niua: 96.6% -Total Tonga: 94.8%

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 18/06/2021

Update Frequency: 10 years

Survey period: Census of Population 2020

Footnotes: Note: Data exclude employed persons who were overseas for at least 6 months. Income from work includes employer CPF contributions.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17609

The series is intended to provide tabulations of two or three interrelated variables for small geographic areas. There about 75 tables in the series, covering the following geographic units; federal electoral districts; census divisions/subdivisions; census metropolitan area/census agglomerations; census tracts; forward sortation areas; and enumeration areas. Census variables are grouped into the following categories: counts and demographic data, ethnic origin, population group, place of birth, citizenship and immigration, language, Aboriginal peoples, schooling, household activities, labour force, income, families and households, housing, institutions and other collectives, as well as disability. The aggregate data tables are presented in Beyond 20/20 Format (.ivt).