This statistic displays the average salary of data analytics firm employees across India in 2016, by city. In that year, data analysts working in the city of Mumbai in India earned on average 990 thousand Indian rupees per year.

Jobs

This DataSet about Jobs and the salary

We want to do data analysis and processing and make a salary forecast using sklearn and tensorflow

• About data and columns

age work class education education num marital status occupation relationship race gender capital gain capital loss hours per week native country income bracket

This data is for training purposes in the field of data science and analysis

Welcome to a comprehensive dataset of Data Analyst job roles across Canada! This dataset provides a unique glimpse into the job market, capturing essential details like salary ranges, required skills, programming languages, job titles, employers, and much more.

Datasets:

- Raw_Dataset.csv:
This is the untouched, unprocessed data directly scraped from Indeed and Glassdoor. It’s the perfect starting point for those looking to demonstrate their data transformation skills by cleaning and refining messy, real-world data.

- Cleaned_Dataset.csv:
This is the refined and transformed version of the raw dataset, ready for insightful analysis and visualization. Ideal for those focusing on data storytelling and visualization.

Featured Columns in the Clean Dataset:

• Job Title: A generalized job title that encapsulates the role.
• Job Info: The exact job title as listed on the job sites.
• Position: The specific role or category the job falls under.
• Employer: The name of the hiring company.
• City: The job's location.
• Province: The abbreviated province name corresponding to the city.
• Skill: The programming languages and tools required for the job.
• Seniority: The job's seniority level (Senior, Mid, Junior, any).
• Work Type: Specifies if the job is Remote, In-person, or Hybrid.
• Industry Type: The industry to which the employer belongs.
• Min Salary: The lowest salary listed (as a float).
• Max Salary: The highest salary listed (as a float).
• Average Salary: The mean salary (as a float).

Inspiration

I recently joined the Junior Data Analyst program at NPower, and I was eager to bolster my portfolio with a project that showcases real-world data. This dataset is perfect for highlighting my data extraction, cleaning, visualization, and storytelling skills.

Some Ideas for Exploration:

• What Data Analyst job titles and roles are currently the most in demand?
• What are the must-have skills to land a Data Analyst job today?
• What salary can you expect for different Data positions, and how do work type and experience level affect it?

Acknowledgements

If you use this dataset, please support me on Github , or follow me on Kaggle.

Image by DC Studio on Freepik

𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝗳𝘂𝗹 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗼𝗳 𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝗮𝗹𝗮𝗿𝘆 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 🌎💲

Hello Kaggle Community!👋 Take a look at my new project on Global Salary Analysis. My goal is to uncover Insights and transform Numerical Data into Narratives. I prioritize data cleanliness for Optimal Utilization. This balanced approach serves both technical and Non-Technical Audiences, making Data easily Understandable. Then, I explore the comprehensive Dashboard to Derive Meaningful Conclusions from the Analysis. I have also created a separate sheet dedicated to a Full Map Visual to take a look at the bigger picture which is Fully Dynamic with the help of Data Validation. Also I have created a button by basic VBA code to navigate to the map sheet and come back to the Dashboard sheet. 📊📈

𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗶𝘀 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱:

1. 𝗖𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝗧𝗼 𝗪𝗮𝘁𝗰𝗵 𝗢𝘂𝘁: 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟭𝟬 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗵𝗶𝗴𝗵𝗲𝘀𝘁 𝗮𝘃𝗲𝗿𝗮𝗴𝗲 𝘀𝗮𝗹𝗮𝗿𝗶𝗲𝘀. Switzerland might be a lucrative career move. With the highest average salary ($11,293), Switzerland could be an attractive option if you're open to relocation and have the necessary skills for the job market there.

2. 𝗖𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝗧𝗵𝗮𝘁 𝗠𝗶𝗴𝗵𝘁 𝗡𝗼𝘁 𝗔𝗻 𝗜𝗱𝗲𝗮𝗹 𝗖𝗵𝗼𝗶𝗰𝗲: 𝗟𝗼𝗼𝗸 𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟭𝟬 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗹𝗼𝘄𝗲𝘀𝘁 𝗮𝘃𝗲𝗿𝗮𝗴𝗲 𝘀𝗮𝗹𝗮𝗿𝗶𝗲𝘀. Unfortunately, we have some countries that might not pay you much according to your skillset.

3. 𝗟𝗼𝗼𝗸 𝗔𝘁 𝗧𝗵𝗲 𝗕𝗶𝗴𝗴𝗲𝗿 𝗣𝗶𝗰𝘁𝘂𝗿𝗲: 𝗧𝗮𝗿𝗴𝗲𝘁 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯 𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗼 𝗡𝗼𝗿𝘁𝗵 𝗔𝗺𝗲𝗿𝗶𝗰𝗮 𝗮𝗻𝗱 𝗘𝘂𝗿𝗼𝗽𝗲. Based on the high average salaries, these regions might offer better compensation for your skills and experience.

𝗡𝗼𝘁𝗲: All Salaries are stated in a monthly format and in USD.

DataAnalytics #DataAnalysis #DataAnalyst #DataStorytelling #BusinessIntelligence #DataVisualization #DataDrivenInsight

About this dataset

Context

The dataset tabulates the median household income in Gold Beach. It can be utilized to understand the trend in median household income and to analyze the income distribution in Gold Beach 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).

• Gold Beach, OR Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Gold Beach, OR: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Gold Beach, OR
• Gold Beach, OR 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 Gold Beach median household income. You can refer the same here

Latvia Average Wages and Salaries: Gross: PS: Architectural and Engineering Activities, Technical Testing and Analysis data was reported at 1,114.630 EUR in Mar 2018. This records an increase from the previous number of 1,063.050 EUR for Feb 2018. Latvia Average Wages and Salaries: Gross: PS: Architectural and Engineering Activities, Technical Testing and Analysis data is updated monthly, averaging 839.240 EUR from Jan 2005 (Median) to Mar 2018, with 159 observations. The data reached an all-time high of 1,169.350 EUR in Dec 2017 and a record low of 359.590 EUR in Jan 2005. Latvia Average Wages and Salaries: Gross: PS: Architectural and Engineering Activities, Technical Testing and Analysis data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G018: Average Wages and Salaries: Statistical Classification of Economic Activities Revision 2.

About this dataset

Context

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

• Missouri annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Missouri 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 Missouri income distribution by age. You can refer the same here

Discover the true earning potential of data scientists across a vast array of companies with our comprehensive dataset. Featuring average salaries from over 8000 companies, this dataset provides a valuable resource for job seekers, industry professionals, and data enthusiasts alike. Uncover salary trends, compare compensation across sectors, and gain insights into the factors influencing data scientist salaries. Join the exploration, share your findings, and contribute to the collective knowledge of the Kaggle community. Let's dive into the world of data scientist salaries together! Access the dataset now and unlock a wealth of information for your analyses.

About this dataset

Context

The dataset tabulates the median household income in North Carolina. It can be utilized to understand the trend in median household income and to analyze the income distribution in North Carolina 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).

• North Carolina Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in North Carolina: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in North Carolina
• North Carolina 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 North Carolina median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the median household income in Jamaica. It can be utilized to understand the trend in median household income and to analyze the income distribution in Jamaica 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).

• Jamaica, IA Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Jamaica, IA: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Jamaica, IA
• Jamaica, IA 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 Jamaica median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Darien, Connecticut, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Darien town. Across the different household sizes in Darien town the mean income is $233,791, and the standard deviation is $78,155. The coefficient of variation (CV) is 33.43%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households. Please note that the U.S. Census Bureau uses $250,001 as a JAM value to report incomes of $250,000 or more. In the case of Darien town, there were 4 household sizes where the JAM values were used. Thus, the numbers for the mean and standard deviation may not be entirely accurate and have a higher possibility of errors. However, to obtain an approximate estimate, we have used a value of $250,001 as the income for calculations, as reported in the datasets by the U.S. Census Bureau.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $58,275. It then further increased to $255,365 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/darien-ct-median-household-income-by-household-size.jpeg" alt="Darien, Connecticut median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Darien town median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the median household income in Columbia County. It can be utilized to understand the trend in median household income and to analyze the income distribution in Columbia County 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).

• Columbia County, NY Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Columbia County, NY: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Columbia County, NY
• Columbia County, NY 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 Columbia County median household income. You can refer the same here

This dataset provides a comprehensive collection of salary information from various industries and regions across the globe. Sourced from reputable employment websites and surveys, it includes details on job titles, salaries, job sectors, geographic locations, and more. Analyze this data to gain insights into job market trends, compare compensation across different professions, and make informed decisions about your career or hiring strategies. The dataset is cleaned and preprocessed for ease of analysis and is available under an open license for research and data analysis purposes.

Education Level: 0 : High School 1 : Bachelor Degree 2 : Master Degree 3 : Phd

Currency : US Dollar

Senior : It shows that is this employee has a senior position or no.(Binary)

This is a cleaned and analyzed version of the City of Houston Employee Payroll dataset, specifically focused on withdrawn employees and their financial impact on city departments. This dataset was prepared in response to a City Council Finance Committee request for January 2025 withdrawal analysis.

This dataset transforms the raw payroll data into actionable insights by: - Aggregating data by department and analysis categories - Calculating total financial impact across all compensation types - Computing average salaries, pay grades, and tenure metrics - Providing headcount loss by department - Breaking down impacts by employment type, FLSA status, and pay grade categories

Key Metrics Included: - Headcount_Lost: Number of withdrawn employees per department - Total_Base_Salary_Impact: Cumulative base salary of withdrawn employees - Total_Gross_Pay_Impact: Total gross compensation impact - Total_Overtime_Impact: Overtime pay associated with withdrawn positions - Total_Other_Pay_Impact: Additional compensation impacts - Avg_Annual_Salary: Average salary of withdrawn employees - Avg_Tenure_Years: Average years of service before withdrawal - Pct_Of_Total_Financial_Impact: Percentage contribution to overall fiscal impact

Analysis Sections: 1. OVERALL SUMMARY: City-wide totals and averages 2. DEPARTMENT ANALYSIS: Department-by-department breakdown showing Houston Public Works was most impacted (15 withdrawals, $637,550 base salary impact) 3. Category breakdowns by Employment Type, FLSA Status, and Pay Grade

Use Cases: - Budget planning and reallocation decisions - Workforce retention strategy development - Department-level resource planning - Understanding compensation patterns in workforce attrition - City Council presentations and policy discussions

Data Processing: - Filtered for "Withdrawn" status employees only - Calculated financial impacts across multiple compensation categories - Aggregated by relevant categorical dimensions - Computed tenure and demographic statistics - Anonymized per City of Houston data protection policies

Context: Prepared for City Council Finance Committee presentation (November 2025) analyzing the fiscal and operational impact of January 2025 employee withdrawals across City of Houston departments.

Data Source: City of Houston Open Data Portal - Employee Payroll Database Analysis Date: November 2025

About this dataset

Context

The dataset tabulates the median household income in Indian Village. It can be utilized to understand the trend in median household income and to analyze the income distribution in Indian Village 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).

• Indian Village, IN Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Indian Village, IN: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Indian Village, IN
• Indian Village, IN 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 Indian Village median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the median household income in Birmingham. It can be utilized to understand the trend in median household income and to analyze the income distribution in Birmingham 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).

• Birmingham, AL Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Birmingham, AL: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Birmingham, AL
• Birmingham, AL 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 Birmingham median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the median household income in Cuba. It can be utilized to understand the trend in median household income and to analyze the income distribution in Cuba 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).

• Cuba, NY Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Cuba, NY: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Cuba, NY
• Cuba, NY 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 Cuba median household income. You can refer the same here