This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

The median family income in the United States grew to 100,800 U.S. dollars in 2023, an increase on the previous year. Family income is the total income earned by all family members who have been living in the household for at least one year and are at least 14 years old.

This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

This statistic depicts the share of household income needed to be saved each year to live comfortably in retirement in the United States as of January 2017. It was found that 24 percent of the interviewed workers believed that it was enough to save somewhere between 20 and 29 percent of the annual household income in order to live comfortably in retirement as of 2017.

A structured overview of the average, net, median, and minimum wage in Germany for 2025. This dataset combines original market research conducted by KUMMUNI GmbH with publicly available data from the German Federal Statistical Office. It includes values with and without bonuses, hourly minimum wage, and take-home pay after tax.

In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

In 2024, households in California needed an hourly wage of over 47 U.S. dollars to afford the rent of a two-bedroom apartment. Massachusetts had the second-least affordable two-bedroom apartments, as a household would have to earn at least around 45 U.S. dollars per hour in order to afford rent payments. These figures are considerably higher than the average minimum wage in place in many states. There was no state in which a minimum wage worker could afford rent for the average two-bedroom apartment, if they only worked 40 hours a week. Where are the least affordable counties and metros? The least affordable rents were predominately in Californian counties and metropolitan areas in 2024. District of Columbia has one of the highest minimum wages in the country, which stood at 17 U.S. dollars per hour as of January 2024. Thus, the affordability of two-bedroom apartments highlights how disproportionately high housing costs are in the state.

Families of tax filers; Single-earner and dual-earner census families by number of children (final T1 Family File; T1FF).

Between April 2008 and March 2024, households from the Pakistani and Bangladeshi ethnic groups were the most likely to live in low income out of all ethnic groups, before and after housing costs.

The study on people with low incomes was conducted by Veian on behalf of the Press and Information Office of the Federal Government. In the survey period from 4 July 2024 to 15 July 2024, 1,019 German-speaking people aged 18 and over with a needs-weighted monthly net income of up to EUR 1,500 in Germany (low-income earners) were surveyed in online interviews (CAWI) on the following topics: Burden of inflation and future prospects, ideas of justice, insecurities, financial situation, awareness of reforms of social benefits, assessment of relief measures, use of social benefits and assessment of the new regulations on the Citizen´s Income. The respondents were selected using a quota sample from an online access panel.
Concerns about inflation: extent of the impact of general price increases. Block A - Future prospects: Confidence vs. worries with regard to personal future in the following areas: financial situation, housing situation, health, old-age provision and career prospects; assessment of own children´s future prospects.

Block B - Ideas of justice: Importance of different aspects of justice (intergenerational justice; performance justice, opportunity justice, family justice, distributive justice and needs justice); most important aspects of justice (order).

Block C - (In)certainties: Agreement with statements on own lifeworld (changes in society frighten me, I feel left alone by the state, I have good friends who support me, I am flexible enough to be able to adapt to difficult situations, I can largely determine my own life, in financial emergencies I can rely on the financial support of my parents/siblings or other relatives, I perceive life as a constant struggle, I feel marginalized in society, within the scope of my possibilities I support my friends and family when necessary).

Block D - Financial situation: Change in financial situation in recent years; perceived burden of current price increases in various areas (fuel, purchase of food, costs for craftsmen, heating, electricity, costs for public transport, restaurant visits, visits to events, leisure activities, clothing purchases, costs for hobbies, costs for vacations, travel, hotels, purchase of household items such as furniture, household appliances, rental costs); changes in everyday behavior due to higher prices (I drive less, I heat my home more conservatively, I set the temperature at home lower than usual, I pay more attention to the price when shopping, I only buy food and everyday products that I really need, I buy more expensive products in installments, I make sure I use less hot water, I do without certain leisure activities, I make sure I save electricity, I now use public transport more often, I have postponed larger purchases for the time being, I do without vacation trips, I have canceled memberships and subscriptions, I meet fewer people than before, as joint activities are often associated with additional costs); characterization of the household´s financial situation (my household can usually put some money aside at the end of the month, my household cannot put any money aside at the end of the month, but the money is enough to cover running costs, my household currently has to draw on savings to cover running costs, my household uses credit (consumer credit, instalment credit, overdraft/overdraft facility); use of state benefits by persons in my own household (parental allowance, child benefit, advance maintenance payments, reductions via a social or family pass, unemployment benefit, citizen´s allowance, housing benefit/ Housing Benefit Plus, certificate of eligibility for social housing, education grant/ BAföG); reasons for not claiming the above-mentioned state benefits (because I am not entitled to the benefit, because I do not know whether I am entitled or not, because I do not know who to contact, because I do not feel comfortable applying for such benefits, because I do not want to be dependent on the state).

Block E - Expectations of politics and the welfare state: strength of state support for the household; need for further state support measures; information about state social benefits (I actively inform myself about state social benefits, i.e. I specifically look for information about them, I tend to get information about state social benefits by chance, e.g. via my normal media consumption, neither, both); level of information about state social benefits; awareness of various reforms of social benefits that have already been decided or are planned (introduction of the citizen´s income (abolition of Hartz IV), increase in unemployment benefit, introduction of a basic child benefit, increase in the minimum wage, guarantee of a minimum pension level, increase in child benefit, increase in care allowance for people in need of care, increase in housing benefit and expansion of the group of people entitled to it, increase in contributions to be paid into the pension insurance scheme); evaluation of these...

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are geography-specific; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

According to a recent study, Colombia had the lowest monthly cost of living in Latin America with 546 U.S. dollars needed for basic living. In contrast, four countries had a cost of living above one thousand dollars, Costa Rica, Chile, Panama and Uruguay. In 2022, the highest minimum wage in the region was recorded by Ecuador with 425 dollars per month.

Can Latin Americans survive on a minimum wage? Even if most countries in Latin America have instated laws to guarantee citizens a basic income, these minimum standards are often not enough to meet household needs. For instance, it was estimated that almost 22 million people in Mexico lacked basic housing services. Salary levels also vary greatly among Latin American economies. In 2022, the average net monthly salary in Brazil was lower than Ecuador's minimum wage.

What can a minimum wage afford in Latin America? Latin American real wages have generally risen in the past decade. However, consumers in this region still struggle to afford non-basic goods, such as tech products. Recent estimates reveal that, in order to buy an iPhone, Brazilian residents would have to work more than two months to be able to pay for it. A gaming console, on the other hand, could easily cost a Latin American worker several minimum wages.

In 2023, the median household income in Michigan amounted to 76,960 U.S. dollars. This is a slight increase from the previous year, when the median household income amounted to 68,990 U.S. dollars. The household median income of the United States can be accessed here.

Abstract

The Household Budget Survey has been regularly conducted since July 1995 by Statistics Estonia (formerly known as the Statistical Office of Estonia).

The goals of Estonia Household Budget Survey are to get information about the economic situation of households; to calculate indicators reflecting socio-economic development of the society (standards of living, cost of living, inequality, poverty, etc.); to project socio-political measures and estimate their effectiveness.

In addition to income and expenditure, the survey provides information about the housing conditions of households, availability of durable goods and additional sources of income. It was also surveyed how the households estimated their economic possibilities and how large income the households would like to receive in order to manage comfortably without excessive luxury.

The methodology of the survey, which was worked out by the scientists of the Family Laboratory and the Institute of Mathematical Statistics of Tartu University, is close to the methodology of surveys conducted in other European countries. Population of Household Budget Survey is all Estonian non-institutional households.

Geographic coverage

National

Analysis unit

• Households,
• Individuals.

Universe

Population of Household Budget Survey is all Estonian non-institutional households. Inhabitants of the nursing homes, prisons, boarding schools and monasteries do not belong to the population of HBS.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are used in the study:

1) Household Picture (Household Picture - Changes) filled in by the interviewer at the first meeting with the household. At the second and third visit to the household the interviewer fills in the "Household Picture - Changes", where changes in the household which have taken place during three months are recorded.

Household Picture contains general data about the size and composition of the household (number of members, age, gender, relationship to the head of the household, nationality, educational level, ability to work, relation to work, area of occupation, form of ownership of enterprise, social group and group of occupation of household members).

Part A of the Household Picture contains data about the economic situation of the household: housing conditions, estimation of the sufficiency of the household's income, possibilities of using free services, use of land, purchasing power of the household, ownership of technical items (durable goods) and desirable income needed in order to manage comfortably without luxury.

2) The diary book of food expenditure contains data about the food expenditure of the household during half a month (half of the sample fills in the diary in the first half of the month - from 1st to 15th day - and half of the sample does it in the second half of the month - from 16th to 30th (31st) day of the month). Eating out and the consumption of self-produced or free food products are registered as well.

3) The diary book of income, taxes and expenditure contains data about monetary and non-monetary income of the surveyed month, taxes paid by the household and goods and services bought by the household. The separate parts in the diary are for recording the expenditure on construction and renovation activities and expenditure related to the household's economic and production activities and lastly expenditure on the investment of money and other transactions (depositing, borrowing, lending of money, etc).

Life situation, wishes, needs and interests of children. Feelings of justice and fears.

I. Children´s questionnaire:

Topics: 1. Colloquial language at home; evaluation of the time available from mother and father or of their new life partners for the child; satisfaction with the care of parents; praying at home; regular attendance at church; number of books in the household; own or shared children´s room; media equipment of the children´s room; experiencing restrictions or poverty (scale); satisfaction with the freedoms granted by parents; sense of justice (rich parents should pay more for the journey of a care group than parents of poorer children, some families have little, some very much money, adults decide on the construction of children´s playgrounds, foreign children may only speak German during breaks); sense of justice in the family, at school, with friends, in Germany and all over the world; fair treatment in Germany with the following groups: children or young people, old people, foreigners, disabled people, poor people; frequency of perceived disadvantages due to age, gender, appearance, poverty of the parental home, foreign origin of a parent.

1. School/ Institutions: school class attended; satisfaction with school; self-assessment of school performance; attending a half-day or full-day school; preference for half-day school; forms of co-determination at school (classroom design, choice of bank neighbour, arrangement of tables, school excursion goals, project topics, design of class rules and school festivals); regular use of after-school care (lunchtime care at the school, after-school care centre, other facility or group for afternoon care); satisfaction with afternoon care; private tutoring; targeted secondary school; targeted school leaving certificate.

2. Leisure time, media use and friendships: frequency of selected leisure activities; satisfaction with leisure time; reading frequency; television consumption per day; frequency of computer games; computer play time per day; own mobile phone; Internet access; regular Internet use; number of hours per week on the Internet; preferred activities on the Internet; number of friends; number of really good friends; easy or difficult to make friends; frequency of contact with friends at school, at lunchtime, outdoors, at home, with friends at their home, at the club and online; satisfaction with the circle of friends; feeling comfortable in the neighbourhood (only a few public transport, scolding neighbours, enough play friends in the neighbourhood, too much traffic in the street, fear of aggressive young people and adults from the neighbourhood, playground or free meadow within walking distance); satisfaction with one´s own body weight.

3. Attitudes and participation in everyday life: parents´ permission to make own decisions in various areas (e.g. what friends and clothes, pocket money, leisure activities, etc.); co-determination in the family with regard to leisure activities; importance of one´s own opinion among selected persons; frequency of fears in selected areas (bad marks, unemployment of parents, being threatened or beaten, environmental pollution, more poor people, outbreak of war, migration of foreigners to Germany); political interest; politicians think about the well-being of children; life satisfaction.

Demography: sex; age; household size; relationship to persons living in the household (household composition); siblings; number of younger and older brothers and sisters; country of birth of parents (migration background).

Additionally coded: respondent-ID; year of the survey; willingness of the respondent to cooperate; survey in the presence of third parties; degree of relationship to persons present; intervention of persons in the course of the interview.

II Parent Questionnaire:

The parents were asked for themselves and their partner: mother or father of the child; family situation; age; highest school leaving certificate; employment situation; professional position; unemployment; desire for more or less work (only employed persons); desire for gainful employment (not employed persons); country of birth; nationality; religion; nationality of the child (German, non-German, dual nationality); type of school attended by the child; association membership of the child; child has attended a kindergarten; age of the child at the time of first attendance of a kindergarten; type of house; residential status; adequate household income to make a living; assessment of the compatibility of family and career.

Additional variables and indicators: age groups (children); state; town size (BIK); settlement structure (BIK); area (West incl. Berlin/W, East incl. Berlin/O); West/East; (educational) class; siblings; number of siblings in the household; family form; employment status (information provider and partner); employment arrangement; experience of unemployment in the last 2 years; nationality (parental information); migration...

Abstract

The Household Budget Survey has been regularly conducted since July 1995 by Statistics Estonia (formerly known as the Statistical Office of Estonia).

The goals of Estonia Household Budget Survey are: to get information about the economic situation of households; to calculate indicators reflecting socio-economic development of the society (standards of living, cost of living, inequality, poverty, etc.); to project socio-political measures and estimate their effectiveness.

In addition to income and expenditure, the survey provides information about the housing conditions of households, availability of durable goods and additional sources of income. It was also surveyed how the households estimated their economic possibilities and how large income the households would like to receive in order to manage comfortably without excessive luxury.

The methodology of the survey, which was worked out by the scientists of the Family Laboratory and the Institute of Mathematical Statistics of Tartu University, is close to the methodology of surveys conducted in other European countries. Population of Household Budget Survey is all Estonian non-institutional households.

Geographic coverage

National

Analysis unit

• Households,
• Individuals.

Universe

Population of Household Budget Survey is all Estonian non-institutional households. Inhabitants of the nursing homes, prisons, boarding schools and monasteries do not belong to the population of HBS.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are used in the study:

1) Household Picture (Household Picture - Changes) filled in by the interviewer at the first meeting with the household. At the second and third visit to the household the interviewer fills in the "Household Picture - Changes", where changes in the household which have taken place during three months are recorded.

Household Picture contains general data about the size and composition of the household (number of members, age, gender, relationship to the head of the household, nationality, educational level, ability to work, relation to work, area of occupation, form of ownership of enterprise, social group and group of occupation of household members).

Part A of the Household Picture contains data about the economic situation of the household: housing conditions, estimation of the sufficiency of the household's income, possibilities of using free services, use of land, purchasing power of the household, ownership of technical items (durable goods) and desirable income needed in order to manage comfortably without luxury.

2) The diary book of food expenditure contains data about the food expenditure of the household during half a month (half of the sample fills in the diary in the first half of the month - from 1st to 15th day - and half of the sample does it in the second half of the month - from 16th to 30th (31st) day of the month). Eating out and the consumption of self-produced or free food products are registered as well.

3) The diary book of income, taxes and expenditure contains data about monetary and non-monetary income of the surveyed month, taxes paid by the household and goods and services bought by the household. The separate parts in the diary are for recording the expenditure on construction and renovation activities and expenditure related to the household's economic and production activities and lastly expenditure on the investment of money and other transactions (depositing, borrowing, lending of money, etc).

On average, the monthly cost of living for an individual in Nigeria amounted to ****** Nigerian Naira, which equaled roughly *** U.S. dollars. On the other hand, this figure added up to ******* Naira for a family, about *** U.S. dollars. In 2020, the minimum wage in Nigeria reached ****** Naira.

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.

Abstract

The CSES is a household survey with questions to households and the household members. In the household questionnaire there are a number of modules with questions relating to the living conditions, e.g. housing conditions, education, health, expenditure/income and labour force. It is designed to provide information on social and economic conditions of households for policy studies on poverty, household production and final consumption for the National Accounts and weights for the CPI.

The main objective of the survey is to collect statistical information about living standards of the population and the extent of poverty. Essential areas as household production and cash income, household level and structure of consumption including poverty and nutrition, education and access to schooling, health and access to medical care, transport and communication, housing and amenities and family and social relations. For recording expenditure, consumption and income the Diary Method was applied for the first time. The survey also included a Time Use Form detailing activities of household members during a 24-hour period.

Another main objective of the survey is also to collect accurate statistical information about living standards of the population and the extent of poverty as an essential instrument to assist the government in diagnosing the problems and designing effective policies for reducing poverty, and in evaluating the progress of poverty reduction which are the main priorities in the "Rectangular Strategy" of the Royal Government of Cambodia.

Geographic coverage

National

Urban/Rural

Analysis unit

1. household

2. individual

Universe

All resident households in Cambodia

Kind of data

Sample survey data [ssd]

Sampling procedure

The Cambodia Socio-Economic Survey 2003-04 (CSES) is conducted in a nationwide representative sample of 15,000 households within 900 sampling units (villages). It is divided into 15 monthly representative samples of 1000 households in 60 villages.

The sampling design and implementation was made in March 2003. A three-stage sample design was devised. Since NIS already had a master sample based on the Population Census 1998, consisting of 600 villages, it was used. But in order to reach the preferred number of 900 villages, the sample was extended to include an additional 300 villages.

In the first stage, a sample of villages was selected in the head office. The villages were initially stratified into 45 strata (province*urban/rural). The villages were selected using systematic sampling with probabilities proportionate to size (PPS). The size measures used for the selection were number of households in the village according the 1998 Census. The resulting sample thus consisted of 900 villages, of which 600 are in rural areas and 300 in urban areas.

In the second stage one Census Enumeration Area (EA or alternatively PSU) was selected randomly also in the head office. At the beginning of the fieldwork, all households in the selected EA were listed using a household listing form, and following internationally recommended procedures. A systematic sample of households was then drawn in a third stage. The third stage sample was 20 households in rural areas and 10 households in the urban areas.

Design work

The work on sample design was carried out in the following areas:

• Estimation of sampling errors and design effects in the CSES 1999

• Calculation of optimal sample size within primary sampling units

• Sample size and sample allocation for CSES 2003

The work was done in a group of NIS staff in the form of expert assisted hands-on training in sampling design and calculation of sampling errors.

In previous surveys PSUs have been villages. It was decided to use village as PSU also for the CSES 2004 mainly because the communes were considered too large (and too few) to serve efficiently as PSUs. Another factor weighing in favor of villages was the fact that there already exists a master sample of villages at NIS.

The master sample consists of 600 villages (88 urban and 512 rural villages). The selection of villages was made with PPS sampling, hence facilitating an approximately self-weighing design with equal workloads in the villages. It was discussed whether a further stratification on 3-4 crude income-level strata should be done in urban Phnom Penh in order to secure a good spread of the sample over different income levels. It was decided not to do such stratification. Phnom Penh has a large sample (90 villages) selected with systematic sampling over a geographically ordered sample frame; this will in itself secure a reasonably good spread of PSUs.

The master sample is allocated over the strata proportionally to the total number of households in the strata. A problem with the master sample is that due to the proportional allocation the urban sample is too small to provide for good estimates in the urban domain. It was therefore decided to expand the sample to include 600 rural villages and 300 urban villages.

Secondary Sampling Units (SSU)

The 600 villages in the master sample are divided in small segments containing approximately ten households each by using census enumeration area maps. As a consequence the boundaries of the segments would be difficult to identify in the field. There would be a risk that housing units constructed after the census will be missed when households are listed within segments during the fieldwork. It was therefore decided not to use the segments in the second stage sampling. The available options are in this situation either (a) to select households directly on stage in the village or (b) to use the enumeration areas as secondary sampling units. Selecting households directly would require a listing of all households in the village prior to the fieldwork. Such a listing would become time-consuming in large villages. It was therefore decided that enumeration areas would be used as SSUs, and that one enumeration area is selected within each sampled village.

Implementation

Villages were selected with a systematic PPS procedure within each stratum. For each sampled village one census enumeration area (EA) was selected. As the enumeration areas are roughly of the same size, the selection was done with equal probability sampling.

Ten (10) households were selected in each sampled village in the CSES 99. Calculations indicated that this sample size was close to optimum. Since the optimum is rather flat, the loss in efficiency from sample sizes of 12-15 is fairly small.

From a purely sampling efficiency point of view, a larger sample than 15 households per village should not be taken. However, factors relating to interviewers' security and well-being weighed in favor of having two interviewers per village in the rural areas. A workload of 10 households between the two interviewers in the village was considered too small. A workload of 15-20 households would be reasonable. All things taken together resulted in a sample of 10 households in urban areas (with one interviewer per village) and 20 households in rural areas.

The resulting sample consisted of 300 urban PSUs and 600 rural PSUs. From the urban PSUs 10 households were selected while 20 households were selected from rural PSUs. The sample thus contained 15000 households to be interviewed during 15 fieldwork months with 1000 different households each month.

Mode of data collection

Face-to-face [f2f]

Research instrument

Five different questionnaires or forms were used in the survey:

Form 1: Household listing sheets to be used in the sampling procedure in the enumeration areas.

Form 2: Village questionnaire answered by the village leader about economy and infrastructure, crop production, health, education, retail prices and sales prices of agriculture, employment and wages, and recruitment of children for work outside the village.

Form 3: Household questionnaire with questions for each household member, including modules on migration, education and literacy, housing conditions, crop production, household liabilities, durable goods, construction activities, nutrition, fertility and child care, child feeding and vaccination, health of children, mortality, current economic activity, health and illness, smoking, HIV/AIDS awareness, and victimization.

Form 4: Diary form on daily household expenditure and income

Form 5: Time use form detailing activities of household members during one 24-hour period.

Questionnaire design

The questionnaire is one of the first items in a strategy for quality control in data collection through surveys. Any piece of information to be collected must be formulated as a question so that all interviewers can be trained to read the questions in the same way. The questions must be formulated in such a way that all interviewers feel comfortable reading the questions aloud and that all respondents understand the questions in the same way. The layout of the questionnaire must be done so that the interviewer immediately understands how the respondent's answer should be recorded. A lot of work is normally needed to meet these requirements that are built into the process of communication in the interview situation. This is the kind of work in which final perfection is elusive and further improvements can always be made.

The initial work on questionnaire design resulted in a first draft prepared by NIS in early 2003. With expert assistance from Statistics Sweden in March the same year, a systematic walk-through question by question was done. A number of essential problems to be solved were then identified while errors or minor problems

Located in the north of the country, Lombardy had the highest mean gross salary in 2024, while workers in Basilicata earned the lowest average wages nationwide. The figure for Lombardy amounted to ****** euros, around *** euros more than in Lazio, where the capital Rome is situated, as reported by Job Pricing. Trentino-South Tyrol was the region with the second-highest average gross salary, ****** euros per year. The last positions of the raking were occupied by the southern regions, with an average wage of ****** euros. High wages and large pay gap  According to the same source, employees working in banking and financial services had some of the largest salaries in Italy. However, men earned roughly ** percent more than women (****** euros versus ****** euros). Similarly, the annual gross salary in the insurance industry was ** percent higher in favor of men. Low-wage workers The south of Italy was also the place registering the highest percentage of low paid employees. These are employees with an hourly salary of less than ********** of the median salary over the total number of employees. More specifically, in the south and on the islands, the share of low-wage employees was **** and **** percent, respectively. In the northern regions, the share amounted to only *** percent.