About this dataset

Context

This list ranks the 74 cities in the New Mexico by Mexican population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Mexican Population: This column displays the rank of city in the New Mexico by their Mexican population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Mexican Population: The Mexican population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Mexican. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total New Mexico Mexican Population: This tells us how much of the entire New Mexico Mexican population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

A dataset listing New Mexico cities by population for 2024.

About this dataset

Context

The dataset tabulates the Mexico median household income by race. The dataset can be utilized to understand the racial distribution of Mexico income.

Content

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).

• Mexico, MO median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Mexico, MO (2021, in 2022 inflation-adjusted dollars)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Mexico median household income by race. You can refer the same here

This project contains four databases used for detecting: 1. Earthquake-related words as published by Mexican mass media on Twitter, following the 19th September 2018 earthquake. Tweets containing any of the corresponding words are considered to be earthquake-related. 2. City-related words, as published by Mexican mass media on Twitter, following the 19th September 2018 earthquake. Tweets containing any of the words are considered to be related to the corresponding city. 3. Cities. List of the corresponding metropolitan areas used for the study. The definition of metropolitan area corresponds to the definition of the National Institute of Geography (INEGI, Mexico). 4. List of mass media considered for the study

About this dataset

Context

The dataset tabulates the Mexico town household income by gender. The dataset can be utilized to understand the gender-based income distribution of Mexico town income.

Content

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).

• Mexico Town, New York annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Mexico Town, New York annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Mexico town income distribution by gender. You can refer the same here

The increasing demand for goods and services in cities around the world due to a rapidly growing urban population is pushing the socioecological systems that support them to their limits. The complexity of urban socioeconomic and environmental systems and their interactions generate a challenging multidimensional decision problem. In response, governments around the world are currently generating a variety of measurements that aim to portrait the main factors that are related to the level of sustainability that a city shows. While the objective of these efforts is to help in the process of urban policy making, these measures are often hard to interpret and do not lend to discover underlying characteristics that may be common among a group of cities. Moreover, these measures are typically focused on describing the current state and omit future challenges such as climate change, which may significantly affect any evaluation of urban sustainability. Recently, the Institute of Ecology and Climate Change (INECC) of Mexico produced a dataset of 36 sustainability related variables for over 100 cities that has the objective of helping federal and state level governments defining sustainable urban strategies. Here we use multivariate statistical techniques to (1) decrease the dimensionality of the dataset and find indices that could be more useful to decision makers; (2) find commonalities among cities include in the dataset in order to help in designing urban strategies for cities with similar characteristics; (3) cities are ranked in terms of their sustainability and characteristics and; (4) the sustainability ranking is compared to estimates of how much the current climate in each of these cities is expected to change during this century, which would add further challenges to maintain or improve urban sustainability.

Air pollution is one of the leading causes of premature deaths across the world, and is often under monitored in developing countries. Mexico presents an interesting case study with greatly improved air pollution thanks to regulation since the 1990s in Mexico City while other places have continued to have dangerous air pollution levels, responsible for tens of thousands of deaths per year.

Public pollution datasets are crucial to research and policy-making regarding public health. Mexico's air quality information program is named Sinaica, but can be time-consuming to use as data can only be retrieved one month at a time manually. Using the rSinaica R package by Diego Valle-Jones, this dataset compiles all recorded hourly values for 28 pollution and weather variables from the years 2010-2021 for all stations in Mexico.

La contaminación del aire es uno de los más grandes causas de muertos prematuras por todo el mundo, aproximadamente 1 en 5 muertes, y es mucho menos monitoreado en naciones en desarrollo. México nos presenta un caso de estudio interesante, con muchas mejoradas niveles de contaminantes gracias a regulaciones desde los 1990s en la Ciudad de México mientras otras lugares han mantenidos niveles de contaminantes peligrosos. Estos son responsibles por decenas de miles de muertos prevenibles cada año en México.

Públicos conjuntos de datos de la contaminación del aire son cruciales para la investigación y la formulación de leyes que protegen la salud publica. En México, el programa llamada la 'Sistema Nacional de Información de la Calidad del Aire', o SINAICA, tiene maneras de conseguir datos, pero requiere mucho tiempo porque información solo se puede ser obtenido un mes, parámetro, y estación a la vez a mano. Usando el rSinaica paquete de R creador por Diego Valle-Jones, este conjunto de datos incluye todos medidos horarios por 28 polución y metorológico variables desde los años 2010-2021 por todos estaciones en México.

This comprehensive dataset, provided in CSV format, captures detailed air quality monitoring data recorded hourly from January 2022 to May 2023 at Universidad Iberoamericana in Mexico City (Geo-location: 19.372292, -99.263679). It includes a wide range of environmental parameters such as particulate matter (PM10 and PM2.5), ozone (O3), carbon monoxide (CO), temperature, and relative humidity.

The CSV file contains multiple columns representing each parameter, along with corresponding timestamps for each hour of recording. This extensive dataset offers valuable insights into air quality trends and variations over a significant period, making it a rich resource for environmental research and analysis.

This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found

CONTENT

• It is perhaps unsurprising that the majority of the most populous cities in the world are in the two most populated countries in the world, China and India. Among these are Shanghai and Beijing, with populations of 25 and 22 million respectively, Delhi (27 million), and Mumbai (over 21.5 million).

• Tokyo is the largest city in the world if the entire Tokyo metro area is included, with a total of more than 38 million residents. Another Japanese city, Osaka, also has a very large population of almost 20.5 million. There are also a number of non-Asian cities with high populations, including Mexico City (over 21 million), Cairo (almost 19.5 million), and Buenos Aires (almost 15.5 million).

• European cities, Istanbul is the most populous, with more than 14.5 million residents. This is followed by Moscow (over 12 million) and Paris (11 million including the Paris metro area). These cities are of course also culturally significant and between them welcome millions of tourists each year.

• There are quite a number of popular and culturally rich cities that have smaller populations, often making for higher living standards for their residents. Barcelona, Sydney, Berlin and Vancouver all have fewer than five million residents, but are very popular choices for city living. There are also some comparatively very small cities with big cultural, historical or political reputations, such as Sarajevo (314,000), Edinburgh (502,000), and Venice (631,000), demonstrating that small cities can be highly significant regardless of the size of their population.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL

Features may have these attributes:

• name
• amenity
• man_made
• shop
• tourism
• opening_hours
• beds
• rooms
• addr:full
• addr:housenumber
• addr:street
• addr:city

This dataset is one of many "/dataset?tags=openstreetmap">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Dataset 1 (AXA collisions 2015–2019) was curated and used to evaluate the effect of two road traffic regulations implemented in Mexico City in 2015 and 2019 on collisions using an interrupted time series analysis. Collisions data came from insurance collision claims (January 2015 to December 2019). The dataset contains 8 variables: year (anio_n), week (semana), count of total collisions per week (c_total), count of collisions resulting in injury per week (c_p_lesion), binary variable to identify the 2015 intervention (limit), binary variable to identify the 2019 intervention (limit1), the number of weeks from baseline (time), an estimate of the number of insured vehicles per week (veh_a_cdmx). Dataset 2 (Road traffic deaths 2013–2019) was curated and used to evaluate the effect of two road traffic regulations implemented in Mexico City in 2015 and 2019 on mortality using an interrupted time series analysis. Mortality data came from vital registries collated by the Mexican Institute for Geography and Statistics, INEGI, (January 2013 to December 2019). The dataset contains 7 variables: year (anio_ocur), week (semana), count of traffic-related deaths per week (def_trans), binary variable to identify the 2015 intervention (limit), binary variable to identify the 2019 intervention (limit1), the number of weeks from baseline (time) and an estimate of the Mexico City population per week (pob_tot_p). Methods Dataset 1 arises from publicly available data on insurance-reported collisions published on the website of the International Institute for Data Science (see reference below). The data were collected by claims adjusters from the company AXA at the site of the collision using an electronic device. These data were available for public use from January 2015 to December 2019 and include information on individual collisions and their characteristics: date the collision occurred, location (coordinates and adjuster reported location), type of vehicle involved and whether there were injuries or deaths. Data were processed and cleaned, mapping collisions, and keeping only those georeferenced within Mexico City boundaries as well as coded to Mexico City in the reported location variable. We then summed the number of collisions per week and merged it with data on an estimate of the number of insured registered vehicles per week (using information from registered vehicles and proportion of insured vehicles from the Mexican Association of Insurance companies). Two more variables were created, one that identifies the week when the intervention came into effect and another variable to number the weeks since baseline. This dataset contains all the necessary information to conduct the interrupted time series analysis for total collisions and collisions resulting in injuries. Dataset 2: mortality data were validated and reported by INEGI (see reference below) from death certificates filed mainly by the Health Sector, using the International Classification of Disease, 10th Revision (ICD-10) for diagnosis codes. We used data from January 2013 to December 2019 and included deaths with the following ICD-10 codes: V02-V04 (.1-.9), V09, V092, V09.3, V09.9, V12-V14 (.3-.9), V19.4-V19.6, V19.9, V20-V28 (.3-.9), V29, V30-V39, V40-V79 (.4-.9), V80.3-V80.5, V81.1, V82.1, V82.1, V83-V86 (.0-.3), V87-V89.2 and V89.9. We summed the number of traffic-related deaths per week and merged it with data on an estimate of the total population in Mexico City per week (see refs below). Two more variables were created, one that identifies the week when the intervention came into effect and another variable to number the weeks since baseline. This dataset contains all the necessary information to conduct the interrupted time series analysis for road traffic deaths. References to original data:

Instituto Internacional de Ciencia de Datos. Datos AXA de Percances Viales [Internet]. 2020 [July 2021]. Available from: https://i2ds.org/datos-abiertos/. Instituto Nacional de Geografía y Estadística. Parque Vehicular [Internet]. 2019 [July 2021]. Available from: https://www.inegi.org.mx/temas/vehiculos/default.html#Tabulados. Dirección Ejecutiva de Líneas de Negocio área de Automóviles. Sistema Estadístico del Sector Asegurador del ramo Automóviles SESA 2018. Mexico City: Asociación Mexicana de Instituciones de Seguro, 2020. Instituto Nacional de Geografía y Estadística. Mortalidad [Internet]. 2020 [July 2021]. Available from: https://www.inegi.org.mx/programas/mortalidad/default.html#Datos_abiertos.

World Health Organisation. ICD-10 Version:2010 [Internet]. 2010 [July 2021]. Available from: https://icd.who.int/browse10/2010/en. Consejo Nacional de Población. Proyecciones de la Población de México y de las Entidades Federativas, 2016-2050 [Internet]. 2018 [July 2021]. Available from: https://datos.gob.mx/busca/dataset/proyecciones-de-la-poblacion-de-mexico-y-de-las-entidades-federativas-2016-2050.

Context

This dataset was collected using our App EC Taximeter.

An easy to use tool developed to compare fees, giving the user an accurate fee based on GPS to calculate a cost of the taxi ride. Due to the ability to verify that you are charged fairly, our App is very popular in several cities. We encourage our users to send us URLs with the taxi/transportation fees in their cities to keep growing our database.

★ Our App gets the available fares for your location based on your GPS, perfect when traveling and not getting scammed.

★ Users can start a taximeter in their own phone and check they are charged fairly

★ Several useful information is displayed to the user during the ride: Speed, Wait time, Distance, GPS update, GPS precision, Range of error.

★ Each fare has information available for reference like: Schedule, Minimum fee, Source, Last update.

★ It’s possible to surf through several cities and countries which fares are available for use. If a fare is not in the app, now it’s easier than ever to let us know thanks to Questbee Apps.

We invite users to contribute to our project and expect this data set to be useful, please don't hesitate to contact us to info@ashkadata.com to add your city or to contribute with this project.

Content

The data is collected from June 2016 until July 20th 2017. The data is not completely clean, many users forget to turn off the taximeter when done with the route. Hence, we encourage data scientist to explore it and trim the data a little bit

Acknowledgements

We have to acknowledge the valuable help of our users, who have contributed to generate this dataset and have push our growth by mouth to mouth recommendation.

Inspiration

Our first inspiration for the App was after being scammed in our home city Quito. We started it as a tool for people to be fairly charged when riding a taxi. Currently with other transportation options available, we also help user to compare fares in their cities or the cities which they are visiting.

File descriptions

mex_clean.csv - the dataset contains information of routes in Mexico City
uio_clean.csv - the dataset contains information of routes in Quito Ecuador
bog_clean.csv - the dataset contains information of routes in Bogota
all-data_clean.csv - the dataset contains information of routes in different cities

Different allelic frequencies of STRs between Mexico City and Sonora Populations.

Context

This dataset consists of 300k+ records of tortilla prices from Mexico's national System of Information and Market Integration, which surveys 53 cities, 384 mom-and-pop stores, and 120 retail stores that sell "tortillas" throughout Mexico.

Mexico's Bureau of Economic Affairs publishes the information on this site based on a survey made across the whole country. Still, it is not very user-friendly, so the information since 2007 was downloaded and stored in a single, easy-to-use CSV file.

The price on each record consists of the mean prices for all observations made on that day, in that city, and in that state. The price shown in the file is for 1 (one) kilogram of tortillas in Mexican pesos ($MXN).

If you don't know what a "tortilla" is, the article in Wikipedia is a good start to get you up and running.

Inspiration

Tortilla is one of Mexico's most important foods. It is made almost entirely of milled corn and water, which forms a dough that is cooked for some minutes before being stored and ready to sell. It is similar to Naan bread, commonly known for its use in Indian cuisine, but made out of corn instead of wheat. Tortillas are sold in packages of 1 kilogram, which, depending on their size, can have around 40 to 50 tortillas per kilogram. Mom-and-pop stores can sell tortillas in fractions of kilograms.

This dataset contains information from both mom-and-pop stores (small stores located near residential areas dedicated solely to selling fresh tortillas) and from big retailers (such as Walmart, which sells tortillas in Mexico in almost all of its stores).

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2718659%2Ff918235c86a0d2183807b041a024f118%2Fmom-and-pop-store.png?generation=1709524219666519&alt=media" alt="mom-and-pop-store">

Example of a typical mom-and-pop store (aka "Tortillería") in Mexico

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2718659%2F6b16090673e26a509aaebc4e89b207b2%2FWalmart-Tortilleria.jpg?generation=1709524326553327&alt=media" alt="">

Example of a stand selling tortillas in Walmart

Several interesting facts can be made regarding the price of tortillas in these two types of stores... surprisingly, retail stores sell tortillas way below the prices of mom-and-pop stores, while at the same time, mom-and-pop stores usually sell tortillas to people with less income than those who buy them in a retail store.

The price difference between retailers and mom-and-pop stores has increased since the COVID-19 pandemic, as illustrated in the following figure.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2718659%2F88cba385cef8b043ef662859e66a7b71%2Flineplot_by_type_2007-2024.png?generation=1709523281176095&alt=media" alt="">

The purpose of publishing this dataset is to raise awareness of the importance of food price monitoring and the impact those prices can have on people's lives.

Thumbnail photo by Louis Hansel on Unsplash

Context

Mesoamerican cultures are the early advanced civilizations of Mexicoand Central America. First, there were many unique groups inhabiting this region over time but for our purposes, we are going to focus in on the Maya. The Maya flourished with their great cities from about 250 CE until around 1400. They covered southern Mexico, Guatemala and Honduras. They had a highly developed written language and mathematics, plus they had an amazing knowledge of astronomy. Their cities were amazing urban centres. They included amazing pyramids, like this from Tikal, one of the largest sites left of the Maya.

https://cancunadventuretours.com/wp-content/uploads/2016/08/Tulum_Express_Tour_1.jpg%20=400x400" alt="Tulum">

Tulum, Yucatán, Mehiko.

Content

This dataset consists of 332 Maya Sites that are located in the present-day Mexico, Honduras, Guatemalaand Belize.

https://cdn.wallpapersafari.com/32/70/Pul4ZH.jpg%20=600x400" alt="Tulum">

Tulum, Yucatán, Mehiko.

About this dataset

Context

The dataset tabulates the median household income in Mexico. It can be utilized to understand the trend in median household income and to analyze the income distribution in Mexico by household type, size, and across various income brackets.

Content

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).

• Mexico, MO Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Mexico, MO: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Mexico, MO
• Mexico, MO households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Mexico median household income. You can refer the same here

About this dataset

Context

This list ranks the 102 cities in the New Mexico by Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Black Population: This column displays the rank of cities in the New Mexico by their Black or African American population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Black Population: The Black population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total New Mexico Black Population: This tells us how much of the entire New Mexico Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Mexico: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 218(4.96%) households where the householder is under 25 years old, 1,597(36.33%) households with a householder aged between 25 and 44 years, 1,325(30.14%) households with a householder aged between 45 and 64 years, and 1,256(28.57%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Mexico, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mexico median household income by age. You can refer the same here

About this dataset

Context

The dataset tabulates the Mexico household income by age. The dataset can be utilized to understand the age-based income distribution of Mexico income.

Content

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).

• Mexico, NY annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Mexico, NY household incomes: Comparative analysis across 16 income brackets

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Mexico income distribution by age. You can refer the same here