In Mexico, as of 2022, the bottom 50 percent, which represents the population whose income lied below the median, earned on average 2,076 euros at purchasing power parity (PPP) before income taxes. Meanwhile, the top ten percent had an average earning of 111,484 euros, 53 times over than the average earning of the bottom half. Further, the bottom 50 percent accounted for -0.3 percent of the overall national wealth in Mexico, that is, they have on average more debts than assets.
In 2022, about 40 percent of adults in Mexico held a net worth under 10,000 U.S. dollars. In contrast, merely 393,000 Mexicans (that is, 0.4 percent of the total) had a net worth of over one million U.S. dollars. Mexico is one of the most unequal countries in Latin America regarding wealth distribution, with 78.7 percent of the national wealth held by the richest ten percent of the population.
The minimum salaryThe minimum wage per day guaranteed by law in Mexico was decreed to increase by 22 percent between 2021 and 2022, reaching 172.87 Mexican pesos in 2022. In the Free Zone located near the northern border the minimum daily wage was raised to 260.34 Mexican pesos.This represented the fourth consecutive incrase since 2019, but could prove to be insufficient to maintain the wellbeing of Mexican workers after the soaring inflation rate registered in 2022 and the economic impact of the COVID-19 in Mexican households. The legal minimum salary has a long history in the North American country, it was first implemented with the approval of the Political Constitution of the United Mexican States in 1917. Income inequality in Latin AmericaLatin America, as other developing regions in the world, generally records high rates of inequality, with a Gini coefficient ranging between 38 and 54 among the region’s countries. Moreover, many of the countries with the biggest inequality in income distribution worldwide are found in Latin America. According to the Human Development Report 2019, wealth redistribution by means of tax transfers improves Latin America's Gini coefficient to a lesser degree than it does in advanced economies. Wider access to education and health services, on the other hand, have been proven to have a greater direct effect in improving Gini coefficient measurements in the region.
The average personal wealth of the bottom 50 percent in Mexico was valued at -200 euros. That is, on average, people from this group had more debts than assets. On the other hand, the richest one percent held an average wealth of 2.91 million euros in this Latin American country. Similarly, Chilean's average personal wealth of the one percent reached 2.67 million euros that same year.
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Mexico MX: Income Share Held by Lowest 20% data was reported at 5.700 % in 2016. This records an increase from the previous number of 5.400 % for 2014. Mexico MX: Income Share Held by Lowest 20% data is updated yearly, averaging 4.500 % from Dec 1984 (Median) to 2016, with 15 observations. The data reached an all-time high of 5.700 % in 2016 and a record low of 3.900 % in 2000. Mexico MX: Income Share Held by Lowest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.
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Context
The dataset tabulates the Mexico household income by gender. The dataset can be utilized to understand the gender-based income distribution of Mexico income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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.
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Mexico income distribution by gender. You can refer the same here
In 2024, the Mexican business magnate Carlos Slim Helu and his family had a fortune worth of 102 billion U.S. dollars and was thus the richest person in the country. The Helu family owns América Móvil, Latin America's biggest mobile telecom company.The second richest person in Mexico that year was German Larrea Velasco, who owns the majority of Mexico’s largest copper mining company, with a fortune of nearly 28 billion U.S. dollars.
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Wages in Mexico decreased to 278.93 MXN/Day in May from 621.89 MXN/Day in April of 2025. This dataset provides - Mexico Average Daily Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Mexico MX: Income Share Held by Highest 20% data was reported at 50.100 % in 2016. This records a decrease from the previous number of 52.200 % for 2014. Mexico MX: Income Share Held by Highest 20% data is updated yearly, averaging 53.800 % from Dec 1984 (Median) to 2016, with 15 observations. The data reached an all-time high of 56.500 % in 2000 and a record low of 50.100 % in 2016. Mexico MX: Income Share Held by Highest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.
In 2023, from the total national wealth in Mexico, 70.2 percent belonged to the top ten percent group. Meanwhile, the bottom 50 percent had a total of 2.3 percent.
Between 2010 and 2022, Mexico's data on the degree of inequality in income distribution based on the Gini coefficient remained equal compared to the previous period, at 45.4. The Gini coefficient measures the deviation of the distribution of income (or consumption) among individuals or households in a given country from a perfectly equal distribution. A value of 0 represents absolute equality, whereas 100 would be the highest possible degree of inequality.
Poverty still one of the major problems
During the last four years, the minimum wage in Mexico has been increasing substantially, going from 141.7 to 248.93 Mexican pesos per day. The main reason for this was to pull people out of poverty. In 2014, the population under the poverty line was over 46 percent, that is almost half of Mexicans living with conditions of vulnerability. Eight years later, the rate was about 36 percent, still a significant number of people living in poverty but a considerable decrease.
Gender inequality
Mexico does not score particularly well in gender inequality, in fact, it ranks 33rd in the world in the Global Gender Gap Index. Despite some advances, the Aztec country performs poorly in most of the metrics that measure inequality. During late 2022, women recorded a pay disparity of –13.15 percent when compared to them male counterparts. That is to say, that for the same job a woman is paid 87.85 MXP when a man receives 100 MXP.
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Mexico Beach. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/mexico-beach-fl-median-household-income-by-race-trends.jpeg" alt="Mexico Beach, FL median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Mexico Beach median household income by race. You can refer the same here
The National Survey of Household Income and Expenditure (ENIGH) aims to provide a statistical overview of the behavior of household income and expenditure in terms of its amount, origin and distribution. In addition, it offers information on the occupational and sociodemographic characteristics of the members of the household, as well as the characteristics of the housing infrastructure and household equipment.
The ENIGH is part of the Information System of National Interest (IIN), which means that the results obtained from this project are mandatory for the Federation, the states and the municipalities, in order to contribute to national development.
In 1984, a trend began to broaden the objectives and homogenize the methodology, taking into account international recommendations and the information requirements of the different users, taking care of historical comparability.
Periodicity: Since 1992 it has been carried out biennially (every two years) with the exception of 2005 when an extraordinary survey was carried out.
Target population: It is made up of the households of nationals or foreigners, who usually reside in private homes within the national territory.
Selection Unit: Private home. The dwellings are chosen through a meticulous statistical process that guarantees that the results obtained from only a part of the population (sample) can be generalized to the total.
Sampling Frame: INEGI's multi-purpose framework is made up of demographic and cartographic information obtained from the 2010 Population and Housing Census.
Observation unit: The home.
Unit of analysis: The household, the dwelling and the members of the household.
Thematic coverage:
Characteristics of the house. Residents and identification of households in the dwelling. Sociodemographic characteristics of the residents of the dwelling. Home equipment, services. Activity condition and occupational characteristics of household members aged 12 and over. Total current income (monetary and non-monetary) of households. Financial and capital perceptions of households and their members. Current monetary expenditure of households. Financial and capital expenditures of households.
The different concepts of the ENIGH are governed by recommendations agreed upon in international conventions, for example:
The resolutions and reports of the 18 International Conferences on Labour Statistics, of the International Labour Organization (ILO).
The final report and recommendations of the Canberra Group, an expert group on "Household Income Statistics".
Manual of Household Surveys. Department of International Economic and Social Affairs, Bureau of Statistics. United Nations, New York, 1987.
They are also articulated with the CNational Accounts and with the Household Surveys carried out by the INEGI.
Sample size: At the national level, including the ten-one, there are 93,186 private homes.
Survey period: The collection of information will take place between August 11 and November 18 of this year. Throughout this period, ten cuts are made, each organized in ten days; Therefore, each of these cuts will be known as tens (see calendar in the annex).
Workload: According to the meticulousness in the recording of information in this project, a load of six interviews in private homes per dozen has been defined for each interviewer. The number of interviews may decrease or increase according to several factors: non-response, recovery from non-response, or additional households.
National and at the state level - Urban: localities with 2,500 or more inhabitants - Rural: localities with less than 2,500 inhabitants
The household, the dwelling and the members of the household.
The survey is aimed at households in the national territory.
Probabilistic household survey
The design of the exhibition for ENIGH-2018 is characterized by being probabilistic; consequently, the results obtained from the survey are generalized to the entire population of the study domain; in turn, it is two-stage, stratified and by clusters, where the ultimate unit of selection is the dwelling and the unit of observation is the household.
The ENIGH-2018 subsample was selected from the 2012 INEGI master sample, this master sample was designed and selected from the 2012 Master Sampling Framework (Marco Maestro de Muestreo (MMM)) which was made up of housing clusters called Primary Sampling Units (PSU), built from the cartographic and demographic information obtained from the 2010 Population and Housing Census. The master sample allows the selection of subsamples for all housing surveys carried out by INEGI; Its design is probabilistic, stratified, single-stage and by clusters, since it is in them that the dwellings that make up the subsamples of the different surveys were selected in a second stage. The design of the MMM was built as follows:
Formation of the primary sampling units (PSU)
First, the set of PSUs that will cover the national territory is built.
The primary sampling units are made up of groups of dwellings with differentiated characteristics depending on the area to which they belong, as specified below:
a) In high urban areas
The minimum size of a PSU is 80 inhabited dwellings and the maximum is 160. They can be made up of:
• A block. • The union of two or more contiguous blocks of the same AGEB. • The union of two or more contiguous blocks of different AGEBs in the same locality. • The union of two or more contiguous blocks from different localities, which belong to the same size of locality.
b) In urban complement: The minimum size of a PSU is 160 inhabited dwellings and the maximum is 300. They can be made up of:
• A block. • The union of two or more contiguous blocks of the same AGEB. • The union of two or more contiguous blocks of different AGEBs in the same locality. • The union of two or more contiguous blocks from different AGEBs and localities, but from the same municipality.
c) In rural areas: The minimum size of a PSU is 160 inhabited dwellings and the maximum is 300. They can be made up of:
• An AGEB. • Part of an AGEB. • The union of two or more adjoining AGEBs in the same municipality. • The union of an AGEB with a part of another adjoining AGEB in the same municipality.
The total number of PSUs formed was 240,912.
Stratification
Once the set of PSUs has been constructed, those with similar characteristics are grouped, that is, they are stratified.
The political division of the country and the formation of localities differentiated by their size, naturally form a geographical stratification.
In each federal entity there are three areas, divided into zones.
High urban, Zone 01 to 09, Cities with 100,000 or more inhabitants.
Urban complement, Zone 25, 35, 45 and 55, From 50,000 to 99,999 inhabitants, 15,000 to 49,999 inhabitants, 5,000 to 14,999 inhabitants, 2,500 to 4,999 inhabitants.
Rural, Zone 60, Localities with less than 2,500 inhabitants.
At the same time, four sociodemographic strata were formed in which all the PSUs in the country were grouped, this stratification considers the sociodemographic characteristics of the inhabitants of the dwellings, as well as the physical characteristics and equipment of the same, expressed through 34 indicators built with information from the 2010 Population and Housing Census*, for which multivariate statistical methods were used.
In this way, each PSU was classified into a single geographical and a sociodemographic stratum.
As a result, there are a total of 683 strata throughout the country.
Selection of the PSUs of the master sample The PSUs of the master sample were selected by means of a sampling with probability proportional to the size.
Sample size For the calculation of the sample size of the ENIGH-2018, the average total current income per household was considered as a reference variable.
As a result of the sum of the 87,826 homes selected and 1,312 additional homes that were found in those homes, the total amounted to 89,138 households.
Face-to-face [f2f]
Six collection instruments will be used to collect information in each household, four of which concentrate information on the household as a whole.
These are:
In the other three, individual information is recorded for people:
Capture activities
The capture consisted of transferring the information from the questionnaires that were fully answered to electronic means through IKTAN, in accordance with the procedures established for the capture process of the ENIGH 2018.
The Person in Charge of Capture and Validation, together with his work team, began the capture of the questionnaires collected by each Interviewer, organized by packages of questionnaires of each page with the result of a complete interview, following the established order:
• Household and housing questionnaire. • Questionnaires for people under 12 years of age. • Questionnaires for people aged 12 and over. • Questionnaires for home businesses. • Household expenditure questionnaire. • Daily expenses booklet.
In addition, the IKTAN made it possible to record and know the progress or conclusion of workloads.
Validation activities
In parallel to the capture, the state coordination
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Mexico MX: Income Share Held by Fourth 20% data was reported at 20.400 % in 2016. This records an increase from the previous number of 19.600 % for 2014. Mexico MX: Income Share Held by Fourth 20% data is updated yearly, averaging 20.200 % from Dec 1984 (Median) to 2016, with 15 observations. The data reached an all-time high of 21.100 % in 1984 and a record low of 19.300 % in 2000. Mexico MX: Income Share Held by Fourth 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.
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Mexico MX: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 43.400 % in 2016. This records a decrease from the previous number of 45.800 % for 2014. Mexico MX: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 48.300 % from Dec 1984 (Median) to 2016, with 15 observations. The data reached an all-time high of 51.400 % in 2000 and a record low of 43.400 % in 2016. Mexico MX: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.
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Mexico MX: Income Share Held by Second 20% data was reported at 9.800 % in 2016. This records an increase from the previous number of 9.400 % for 2014. Mexico MX: Income Share Held by Second 20% data is updated yearly, averaging 8.600 % from Dec 1984 (Median) to 2016, with 15 observations. The data reached an all-time high of 9.800 % in 2016 and a record low of 7.900 % in 2000. Mexico MX: Income Share Held by Second 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.
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Mexico MX: Income Share Held by Third 20% data was reported at 14.000 % in 2016. This records an increase from the previous number of 13.400 % for 2014. Mexico MX: Income Share Held by Third 20% data is updated yearly, averaging 13.000 % from Dec 1984 (Median) to 2016, with 15 observations. The data reached an all-time high of 14.000 % in 2016 and a record low of 12.300 % in 2000. Mexico MX: Income Share Held by Third 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.
Amid the COVID-19 outbreak, the ENCOVID-19 provides information on the well-being of Mexican households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a project consisting of a series of cross-sectional telephone surveys collected once a month for one year. In addition to the four main domains and a set of COVID19-related questions, the survey includes new key indicators every month to capture the impact of the pandemic on issues like education, social programs, and crime. This is the fourth dataset of the project, corresponding to July 2020, collected four months after the lockdown began in Mexico. Funded by UNICEF and Universidad Iberoamericana, Mexico City
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Mexico MX: Income Share Held by Highest 10% data was reported at 34.800 % in 2016. This records a decrease from the previous number of 37.200 % for 2014. Mexico MX: Income Share Held by Highest 10% data is updated yearly, averaging 37.800 % from Dec 1984 (Median) to 2016, with 15 observations. The data reached an all-time high of 41.000 % in 2000 and a record low of 34.800 % in 2016. Mexico MX: Income Share Held by Highest 10% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.
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This dataset is about book series. It has 1 row and is filtered where the books is Exports and within-plant wage distributions : evidence from Mexico. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
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Mexico MX: External Debt: Short-Term Debt: % of Exports of Goods, Services and Primary Income data was reported at 11.879 % in 2017. This records a decrease from the previous number of 13.231 % for 2016. Mexico MX: External Debt: Short-Term Debt: % of Exports of Goods, Services and Primary Income data is updated yearly, averaging 19.627 % from Dec 1979 (Median) to 2017, with 39 observations. The data reached an all-time high of 93.847 % in 1982 and a record low of 7.583 % in 2008. Mexico MX: External Debt: Short-Term Debt: % of Exports of Goods, Services and Primary Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: External Debt: Debt Outstanding, Debt Ratio and Debt Service. Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt.; ; World Bank, International Debt Statistics.; Weighted average;
In Mexico, as of 2022, the bottom 50 percent, which represents the population whose income lied below the median, earned on average 2,076 euros at purchasing power parity (PPP) before income taxes. Meanwhile, the top ten percent had an average earning of 111,484 euros, 53 times over than the average earning of the bottom half. Further, the bottom 50 percent accounted for -0.3 percent of the overall national wealth in Mexico, that is, they have on average more debts than assets.