Key information about Mexico Monthly Earnings

• Mexico Monthly Earnings stood at 908 USD in Feb 2025, compared with the previous figure of 902 USD in Jan 2025
• Mexico Monthly Earnings data is updated monthly, available from Jan 2000 to Feb 2025, with an average number of 578 USD
• The data reached the an all-time high of 1,045 USD in May 2024 and a record low of 411 USD in Feb 2000

CEIC calculates Monthly Earning from Average Daily Quote Salaries multiplied by 30 and converts it into USD. Secretary of Labor and Social Security provides Average Daily Quote Salaries in local currency. Federal Reserve Board average market exchange rate is used for currency conversions.


Further information about Mexico Monthly Earnings

• In the latest reports, Mexico Population reached 132 million people in Dec 2024
• Unemployment Rate of Mexico increased to 3 % in Jan 2025
• The country's Labour Force Participation Rate increased to 59 % in Jan 2025

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.

In the financial year 2021, a majority of Indian households fell under the aspirers category, earning between 125,000 and 500,000 Indian rupees a year. On the other hand, about three percent of households that same year, accounted for the rich, earning over 3 million rupees annually. The middle class more than doubled that year compared to 14 percent in financial year 2005.

Middle-class income group and the COVID-19 pandemic

During the COVID-19 pandemic specifically during the lockdown in March 2020, loss of incomes hit the entire household income spectrum. However, research showed the severest affected groups were the upper middle- and middle-class income brackets. In addition, unemployment rates were rampant nationwide that further lead to a dismally low GDP. Despite job recoveries over the last few months, improvement in incomes were insignificant.

Economic inequality

While India maybe one of the fastest growing economies in the world, it is also one of the most vulnerable and severely afflicted economies in terms of economic inequality. The vast discrepancy between the rich and poor has been prominent since the last three decades. The rich continue to grow richer at a faster pace while the impoverished struggle more than ever before to earn a minimum wage. The widening gaps in the economic structure affect women and children the most. This is a call for reinforcement in in the country’s social structure that emphasizes access to quality education and universal healthcare services.

India’s per capita net national income or NNI was around 200 thousand rupees in financial year 2025. The annual growth rate was 8.6 percent as compared to the previous year. National income indicators   While GNI (Gross National Income) and NNI are both indicators for a country’s economic performance and welfare, the GNI is related to the GDP plus the net receipts from abroad, including wages and salaries, property income, net taxes and subsidies receivable from abroad. On the other hand, the NNI of a country is equal to its GNI net of depreciation. In 2020, India ranked second amongst the Asia Pacific countries in terms of its gross national income. This has been possible due to a favorable GDP growth in India. Measuring wealth versus welfare   National income per person or per capita is often used as an indicator of people's standard of living and welfare. However, critics object to this by citing that since it is a mean value, it does not reflect the real income distribution. In other words, a small wealthy class of people in the country can skew the per capita income substantially, even though the average population has no change in income. This is exemplified by the fact that in India, the top one percent of people, control over 40 percent of the country’s wealth.

Guyana was the South American country 20360the highest gross national income per capita, with 20,360 U.S. dollars per person in 2023. Uruguay ranked second, registering a GNI of 19,530 U.S. dollars per person, based on current prices. Gross national income (GNI) is the aggregated sum of the value added by residents in an economy, plus net taxes (minus subsidies) and net receipts of primary income from abroad. Which are the largest Latin American economies? Based on annual gross domestic product, which is the total amount of goods and services produced in a country per year, Brazil leads the regional ranking, followed by Mexico, Argentina, and Chile. Many Caribbean countries and territories hold the highest GDP per capita in this region, measurement that reflects how GDP would be divided if it was perfectly equally distributed among the population. GNI per capita is, however, a more exact calculation of wealth than GDP per capita, as it takes into consideration taxes paid and income receipts from abroad. How much inequality is there in Latin America? In many Latin American countries, more than half the total wealth created in their economies is held by the richest 20 percent of the population. When a small share of the population concentrates most of the wealth, millions of people don't have enough to make ends meet. For instance, in Brazil, about 5.32 percent of the population lives on less than 3.2 U.S. dollars per day.

In 2024, the Saudi Arabian oil company Saudi Aramco posted the highest revenue of any company in the world before taxes, with an income of over 208 billion U.S. dollars. Apple, Alphabet, Berkshire Hathaway, and Microsoft rounded out the top five spots in the ranking of most profitable companies. What is net income? Net income, or net profit, which differs slightly from pre-tax income, is the figure that gives the most complete overview of a company’s profitability: It is calculated as the revenue of a company less all operating expenses, debt payments, interest paid, income from subsidiary holdings, taxes, etc. Different industries have different net profit margins. The Apple doesn’t fall far In terms of market value, Microsoft was the largest company in the world in 2024, with Apple following in second. Since the beginning of the new millennium, Apple has reported ever rising amounts of worldwide revenue, with iPhone sales leading the charge.

Abstract

The main objective of the survey is to assess the living conditions of the population of St Lucia and to develop a national basket of goods and services for updating of the consumer price index. The survey contains information on housing conditions, cost of accomodation, cost of rountine household maintenance and repairs, annual cost of purching furniture and furishings for the household, cost of vehicle operations, where items are purchased, migration, anthopometric data, demographics, health, education, labour force, crime, clothing expenses, health expenses and income.

Geographic coverage

National coverage, all Administrative Districts

Analysis unit

Individuals, households, spenders (defined as persons age 18 and over and employed)

Universe

The survey covered all de jure household members (usual residents), the fertility section of the person questionnaire covers all women aged 15-49 years resident in the household, the anthropometic section covers all children aged 0-4 years (under age 5) resident in the household and the expenditure data covers all spenders 18 year of age and over and employed.

Kind of data

Sample survey data [ssd]

Sampling procedure

1302 households were selected for the sample. Of these, 1222 were occupied households and were successfully interviewed for a response rate of 94%. Within these households, 4319 persons were successfully interviewed (response rate 93.9%).

The stratification is done by district and is based on the percentage of agricultural workers for rural EDs (Enumeration Districts) and percentage of professional workers for urban EDs. There are two stages of selection, firstly the selection of EDs in all Districts then the selection of households using a random start and systematic selection proceedure. Households which refused or could not be contacted were replaced.

The sample frame used was based on the May 2001 Census and the sample size was 2.78% of the frame. Stratification was done on the district (District) and then by ED (Enumeration District) and finally by household (hhno).

Sampling deviation

There was no deviation from the sample design.

Mode of data collection

Face-to-face [f2f]

Research instrument

Four Questionnaires were administered to each household; each household was visited at least three times. On the first visit the Household and the Individual Questionnaires were administered. At the start of the first week one Daily Diary of Expenditure Questionnaire for the household and a Memory Jogger notebook for each spender in the household was left with household respondents to record all purchases over the next one-week period. The 2nd visit to the household occurred at the end of the first week at which point the Daily Diary completed by the household for the first week and all memory jogger notebooks were collected and the second week’s Diary and memory joggers were left. The 3rd visit to the household occurred at the end of the second week at which point the Daily Diary completed by the household and memory joggers from each spender for the second week was collected.

THE HOUSEHOLD EXPENDITURE SURVEY QUESTIONNAIRES

There are four (4) questionnaires to be administered in the survey. 1. S.L.C.H.B Household Questionnaire 2. S.L.C.H.B Individual/Person Questionnaire 3. S.L.C.H.B Memory Jogger 4. S.L.C.H.B Household Daily Diary of Expenditure

THE STRUCTURE OF THE QUESTIONNAIRES Household Questionnaire Front Page: Identification and control Section 1: Housing conditions and household assets Section 2 Part 1,2,3: Expenditure on accommodation, owned and rented Section 2 Part 4: Expenditure on accommodation - Repair and maintenance of dwelling Section 3 : Major types of household expenses Section 4 Part 1: Furniture, furnishings and household equipment Section 4 Part 2: Repairs and servicing of household articles Section 5 : Agriculture products produced and consumed at home Section 6: Transportation Section 7: Regularity of purchase and main type of outlet Section 8: For Heads of households only (Status of previous household head) Section 9: To be completed for all former household members living away from the household in the past five years Section 10: For children under the age of five years

Person Questionnaire
Control: Identification and control Section 1: Characteristics – For all persons Section 2: Migration – For all persons Section 3: Health – For all persons Section 4: Education – For all persons Section 5: Employment – For person 15 years and over Section 6: Marital, union status and fertility for persons – For persons over the age of 15 years Section 7: Crime Section 8: Clothing and footwear consumed in the last 3 months Section 9: Other expenses Section 10: Other Disbursements Section 11: Income

Memory Jogger
Front Page: Identification and control Daily Record: Pages 1 to 7 Back Page: Notes on the method of completing the daily diary

Daily Diary of Expenditure
Front Page: Identification and control Pages 2 – 3: Notes on the method of completing the daily diary Example: Example of method of completion (Pages 4, 5, 6) Day One: Daily expenditures (Pages 7, 8, 9, 10) Day Two: Daily expenditures (Pages 11, 12, 13, 14) Day Three: Daily expenditures (Pages 15, 16, 17, 18) Day Four: Daily expenditures (Pages 19, 20, 21, 22) Day Five: Daily expenditures (Pages 23, 24, 25, 26) Day Six: Daily expenditures (Pages 27, 28, 29, 30) Day Seven: Daily expenditures (Pages 31, 32, 33, 34)

Cleaning operations

Data editing took place at a number of stages throughout the processing, including: a) Office editing and coding b) During data capture which involved the scanning and verification of the data c) Structure checking and completeness was done in SQL 2000 Enterprise Server d) Secondary editing was done in SPSS e) Structural checking of SPSS data files Detailed documentation of the editing of data can be found in the "Data Editing and coding guidelines" document provided as an external resource.

Response rate

Response rates by Administrative District follow: Castries Urban: 98.5% Castries Rural: 94.8% Anse-La-raye/Canaries: 98.4% Soufriere: 86.7% Choiseul: 100.0% Laborie: 94.5% Vieuxfort: 89.1% Micoud: 88.1% Dennery: 97.0% GrosIslet: 92.4%

Sampling error estimates

Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the 2005-2006 MICS to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

If the sample of respondents had been a simple random sample, it would have been possible to use straightforward formulae for calculating sampling errors. However, the SLC/HBS 2005-2006 sample is the result of a multi-stage stratified design, and consequently needs to use more complex formulae. The CENVAR module of the IMPS 4.1 has been used to calculate sampling errors for the SLC/HBS 2005-2006. This module uses the Taylor linearization method of variance estimation for survey estimates that are means or proportions.

Sampling errors have been calculated for a select set of statistics (all of which are proportions due to the limitations of the Taylor linearization method) for the national sample, urban and rural areas, and for each of the five regions. For each statistic, the estimate, its standard error, the coefficient of variation (or relative error -- the ratio between the standard error and the estimate), the design effect, and the square root design effect (DEFT -- the ratio between the standard error using the given sample design and the standard error that would result if a simple random sample had been used), as well as the 95 percent confidence intervals (+/-2 standard errors).

Details of the sampling errors are presented in the sampling errors appendix to the report and in the sampling errors table presented in the external resources.

Data appraisal

A series of data quality tables and graphs are available to review the quality of the data and include the following: - Age distribution of the household population - Age distribution of eligible children and children for whom the mother or caretaker was interviewed - Age distribution of children under age 5 by 3 month groups - Presence of mother in the household and person interviewed for the under 5 questionnaire - School attendance by single year age - Sex ratio at birth among children ever born, surviving and dead by age of respondent - Distribution of women by time since last birth - Scatter plot of weight by height, weight by age and height by age - Graph of male and female population by single years of age - Population pyramid

The results of each of these data quality tables are shown in the appendix of the final report and are also given in the external resources section.

The general rule for presentation of missing data in the final report tabulations is that a column is presented for missing data if the percentage of cases with missing data is 1% or more. Cases with missing data on the background characteristics (e.g. education) are included in the tables, but the missing data rows are suppressed and noted at the bottom of the tables in the report (not in the SPSS output, however).

Abstract

The Integrated Living Conditions Survey (ILCS) was first conducted in Armenia in 1996 followed by another round in 1998/99. Thereafter, it has been conducted every year since 2001. The survey is carried out during the year with monthly shift (rotation) of households and communities. Findings of the survey are primarily used to estimate consumption-based poverty rates in the country, as well as to provide valuable information on households' living conditions by means of other indicators.

Geographic coverage

Urban and rural communities

Analysis unit

• Households;
• Individuals.

Universe

The survey covers: The usual residents present and the usual residents temporarily absent

Definition of usual resident: People who permanently reside in the given area as well as those who are temporarily absent (up to 1 year). The minimum duration of stay is at least one day in the month. Otherwise, the household member is considered temporarily absent.

Definition of household and household members: People who usually live together, share the same housekeeping and have the same budget.

Usual household members who are temporarily absent are enumerated in the survey: Yes, including labour related questions

Age coverage: The labour related questions of the survey relate to the population of age groups between 15 and 75 years old

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample design Sampling frame: Population census The sampling frame is updated: every year Procedure used to update the sampling frame: No update till new Census Lowest level of geographic disaggregation for which reliable estimates of the unemployment rate can be produced and their frequency: Settlement (annual) The sample is stratified: Yes Variables used for stratification: geographic region, urbanisation, population size of locality Number of sampling stages: 2 Ultimate sampling units: households Number of ultimate sampling units per sample area: 8 Sample size: 656 ultimate sampling units per month Sample fraction: 1% of the total population Comments: Before the beginning of the observation year the sample frame is constructed; every month the enumeration areas and households are rotated. Every interviewer visits 8 households per month.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The Questionnaire is filled in by the interviewer in the course of at least five visits to households per month. During face-to-face interviews with the household head or another knowledgeable adult member, the interviewer collects information on the composition and housing conditions of the household, the employment status, educational level and health condition of the members, availability and use of land, livestock, and agricultural machinery, monetary and commodity flows between households, and other information.

The 2018 survey questionnaire had the following sections: (A) List of Household Members, (B) Migration, (C) Housing Conditions, (D) Employment, (E) Education, (F) Agriculture, (G) Food Production, (H) Monetary and Commodity Flows between Households, (I) Health (General) and Healthcare, (J) Debts, (K) Subjective Estimation of the Living Standard, (L) Provision of Services, (M) Social Assistance, (N) Activities of Private Households as Employers and Undifferentiated Production Activities of Private Households, (O) Monthly Consumption of Energy Carriers in Households, and (P) Global Food Insecurity Experience Scale.

The Diary is completed directly by the household during one month. Every day the household would record all its expenditures on food, non-food products and services, also giving a detailed description of such purchases; e.g. for food products the name, quantity, cost, and place of purchase of the product is recorded. Besides, the household records its consumption of food products received and used from its own land and livestock, as well as from other sources (e.g. gifts, humanitarian aid). Non-food products and services purchased or received for free are also recorded in the diary. Then, the household records its income received during the month. At the end of the month, information on rarely used food products, durable goods and ceremonies is recorded, as well. The records in the diary are verified by the interviewer in the course of 5 mandatory visits to the household during the survey month.

The Survey Diary has the following sections: Section X: (X.1) food purchased during the day, (X.2) food consumed at home during the day, (X.3) Food consumed outside, (X.4) non-food products purchased and services received, (TableX.5) All other non-food products and services received free of charge ; Section Y - (Table Y.1) Diary of Household Incoem and Revenues; and Section Z - (Table Z.1) Salary, (Table Z.2) Food which is usually consumed daily in little quantity, (Table Z.3) List of real estate, durable goods and ritual services, (Table Z.4) Days absent.

The interviewer’s manual provides detailed instructions for completing the questionnaire and the diary.

The Questionnaire, the Diary and the Interviewer's Manual are revised and adjusted, as appropriate, prior to the launch of the survey. Starting from 2012, data are codified under the “Classification of Individual Consumption by Purpose” (COICOP) classifier.

The monthly minimum wage in Russia as of January 1, 2025, amounted to 22,440 Russian rubles, or approximately 251 U.S. dollars using the exchange rate as of February 28, 2025. In the capital Moscow, it was set at 32,916 Russian rubles, or around 368 U.S. dollars. In the country's second-largest city, Saint Petersburg, it was lower, at 28,750 Russian rubles. Starting from 2021, the minimum wage in Russia was calculated as 42 percent of the median wage. Between 2018 and 2020, it equaled to the minimum cost of living that was set in the country. The poor and the rich in Russia Around 12 million residents lived under the poverty line in Russia. Those earning the highest 20 percent of income accounted for approximately 46 percent of the total composite monetary income in 2023, while the group with the lowest income had a 5.5-percent share. Regional disparities The economic disparity was also observed across Russian federal subjects. The median monthly wage ranged from 19,000 Russian rubles in the Kabardino-Balkaria Republic to 78,000 Russian rubles in the Chukotka Autonomous Okrug between September 2018 and August 2019. Minimum wage thresholds can be regulated by regional authorities, as long as they are not lower than the federal minimum wage.