The entire World Economic Outlook database from the International Monetary Fund (IMF).

Reference: https://www.imf.org/external/pubs/ft/weo/2017/01/weodata/download.aspx

License: https://www.imf.org/external/terms.htm

Italy ISTAT Forecast: Population: Women data was reported at 27.115 Person mn in 2065. This records a decrease from the previous number of 27.266 Person mn for 2064. Italy ISTAT Forecast: Population: Women data is updated yearly, averaging 30.079 Person mn from Dec 2017 (Median) to 2065, with 49 observations. The data reached an all-time high of 31.144 Person mn in 2017 and a record low of 27.115 Person mn in 2065. Italy ISTAT Forecast: Population: Women data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G003: Population: by Age: Forecast: National Institute of Statistics.

Australia Real Net National Disposable Income: 2017-18p: Trend data was reported at 390,923.000 AUD mn in Sep 2019. This records an increase from the previous number of 386,549.000 AUD mn for Jun 2019. Australia Real Net National Disposable Income: 2017-18p: Trend data is updated quarterly, averaging 149,524.000 AUD mn from Sep 1959 (Median) to Sep 2019, with 241 observations. The data reached an all-time high of 390,923.000 AUD mn in Sep 2019 and a record low of 53,215.000 AUD mn in Sep 1959. Australia Real Net National Disposable Income: 2017-18p: Trend data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.A049: SNA08: Gross Income and Use of Gross Disposable Income.

Real gross domestic product (GDP) in the United States is expected to grow by just over two percent in 2025. Beyond that, growth is projected to ease, slipping from roughly 2.8 percent in 2024 to around 1.8 percent by 2030. The softer outlook points to an economy that is still expanding, but at a more subdued pace. Is U.S. debt sustainable? The U.S. economy continues to grapple with growing levels of public debt. The national debt is anticipated to reach approximately 122.5 percent of GDP in 2025, reflecting ongoing fiscal pressures. The U.S. is not alone in it high debt-to-GDP ratio. Other developed economies, including Japan, Singapore, and Italy, currently maintain even higher public debt burdens. Such levels could constrain future economic growth and narrow the range of policy options available to governments. Consumer sentiment in flux The University of Michigan’s Consumer Sentiment Index, a key gauge of confidence in the economy. In November 2025, it stood at 51, its lowest level since June 2022. Based on monthly surveys of households, it tracks consumers views on personal finances, buying conditions, and the broader economic climate.

Graph and download economic data for Real gross domestic product per capita (A939RX0Q048SBEA) from Q1 1947 to Q2 2025 about per capita, real, GDP, and USA.

In 2024 the real gross domestic product (GDP) of the United States increased by 2.8 percent compared to 2023.
What does GDP growth mean? Essentially, the annual GDP of the U.S. is the monetary value of all goods and services produced within the country over a given year. On the surface, an increase in GDP therefore means that more goods and services have been produced between one period than another. In the case of annualized GDP, it is compared to the previous year. In 2023, for example, the U.S. GDP grew 2.5 percent compared to 2022. Countries with highest GDP growth rate Although the United States has by far the largest GDP of any country, it does not have the highest GDP growth, nor the highest GDP at purchasing power parity. In 2021, Libya had the highest growth in GDP, growing more than 177 percent compared to 2020. Furthermore, Luxembourg had the highest GDP per capita at purchasing power parity, a better measure of living standards than nominal or real GDP.

Regression results of digital economy on GTFP.

Graph and download economic data for Personal Saving Rate (PSAVERT) from Jan 1959 to Aug 2025 about savings, personal, rate, and USA.

Global Suicide, Mental Health, Substance Use Disorders Trends

Analyzing the Impact Across Countries

By [source]

About this dataset

This dataset contains comprehensive data on global suicide, mental health, substance use disorders, and economic trends from 1990 to 2017. Using this data, researchers can delve deep into the effects of these trends across countries and ultimately uncover important insights about the state of global health. The dataset contains information about suicide rates (per 100,000 people), mental disorder prevalence (as a percentage of population size in 2017), population share with substance use disorders (as a percentage from 1990-2016), GDP per capita by purchasing power parity (in terms of current US$ for 1990-2017) and net national income per capita adjusted for inflation effects(in current US$, as in 2016). Additionally it tracks unemployment rate among populations over time(populaton%, 1991-2017). All this will help us to better understand how issues such as suicide, mental health and substance use disorders are affecting the lives of people globally

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How to use the dataset

This dataset offers insights into how mental health, substance use disorders, and economic status can impact global suicide trends. To get the most out of this data set, it is important to note the various columns available and their purpose as outlined above.

To analyze global suicide rates, look at the column “Probability (%) of dying between age 30 and exact age 70 from any of cardiovascular disease, cancer, diabetes or chronic respiratory disease” for a summary of estimated suicide rates for different countries over time. Additionally the columns “Entity” and “Code” provide useful information on which country is being discussed in each row.

The column “Prevalence- Alcohol and Substance Use Disorders” provides an overview of substance use disorders across different countries while the year column indicates when these trends are taking place.

For economic indicators related to mental health there is data available on national income per capita (current US$, 2016) as well as unemployment rate (population % 1991-2017). Together these metrics give a detailed picture into how economics can be interlinked with mental health and potentially suicide rates.

Finally this dataset also allows you to investigate varying trends overtime between different countries by looking at any common metrics but only in one specific year using appropriate filters when exploring the data set in more detail

Research Ideas

• Analyzing the correlation between mental health and economic indicators.
• Identifying countries with the highest prevalence of substance use disorders and developing targeted interventions for those populations.
• Examining the impact of global suicide rates over time to increase awareness and reduce stigma surrounding mental health issues in different countries

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: share-with-alcohol-and-substance-use-disorders 1990-2016.csv | Column name | Description | |:-----------------------------------------------------|:-----------------------------------------------------------------------------------| | Entity | The name of the country. (String) | | Code | The ISO code of the country. (String) | | Year | The year of the data. (Integer) | | Prevalence - Alcohol and substance use disorders | The percentage of the population with alcohol and substance use disorders. (Float) | | **Prevalence ** | Both (age-standardized percent) (%) |

**File: crude suicide rate...

Estimation of the digital economy development level from 2010–2019.

New Zealand Economy Survey: Manufacturing: Sales: Trend: Wood & Paper Product data was reported at 2,438.868 NZD mn in Mar 2018. This records an increase from the previous number of 2,358.763 NZD mn for Dec 2017. New Zealand Economy Survey: Manufacturing: Sales: Trend: Wood & Paper Product data is updated quarterly, averaging 1,950.398 NZD mn from Mar 1995 (Median) to Mar 2018, with 93 observations. The data reached an all-time high of 2,438.868 NZD mn in Mar 2018 and a record low of 1,437.766 NZD mn in Jun 1998. New Zealand Economy Survey: Manufacturing: Sales: Trend: Wood & Paper Product data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.S007: Economy Survey: ANZSIC06: Trend.

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Graph and download economic data for Real Disposable Personal Income (DSPIC96) from Jan 1959 to Aug 2025 about disposable, personal income, personal, income, real, and USA.

Digital economy evaluation index system.

Results of the robustness test.

Results of heterogeneity analysis in textile and apparel industry.

New Zealand Economy Survey: Manufacturing: Sales: Trend: Seafood data was reported at 458.381 NZD mn in Mar 2018. This records a decrease from the previous number of 481.745 NZD mn for Dec 2017. New Zealand Economy Survey: Manufacturing: Sales: Trend: Seafood data is updated quarterly, averaging 381.447 NZD mn from Mar 1995 (Median) to Mar 2018, with 93 observations. The data reached an all-time high of 507.260 NZD mn in Jun 2016 and a record low of 264.834 NZD mn in Mar 1995. New Zealand Economy Survey: Manufacturing: Sales: Trend: Seafood data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.S007: Economy Survey: ANZSIC06: Trend.

The Gross Domestic Product (GDP) in China expanded 4.80 percent in the third quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Salary by Profession and Country Over Time

Salary Differences by Country and Profession

By Kelly Garrett [source]

About this dataset

This dataset contains survey responses from 882 data professionals from 46 countries who took part in the 2021 Global Data Professional Salary Survey. Our goal was to understand how much database administrators, data analysts, data architects, developers and data scientists make across the world in 2017-2021.

The survey covers three years of salary trends, allowing you to compare and contrast movements over time. It also includes an optional postal code field which can be used to identify global regions with specific salary trends. In addition, all questions asked this year were also asked in 2017 and 2018 so that you can easily track changes in compensation over three years.

The spreadsheet contains anonymized responses which are provided as public domain making it available for any purpose without attribution or mention of anyone else. With this dataset at your disposal you'll have access to the detailed salary information needed to make informed decisions about your career development!

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How to use the dataset

• Start by familiarizing yourself with the columns in this dataset. The columns range from age of respondent to country of residence. It also includes salary information for each year (average annual income for 2017, 2018, and 2019). Read through each column header carefully to understand what you're looking at.

• Explore some basic summary statistics about the sample group such as median salary levels by profession or average age by nationality are interesting ways to get acquainted with this data set quickly. Excel's native statistical tools may be used here if you're using an excel file version as your source material; otherwise, you can use any programming language or statistics software that supports importing an exportable CSV (Comma Separated Values) format file or conversion thereof into something manipulable form like a spreadsheet or table structure within your preferred platform..

• You'll then want to identify which factors might be influencing salaries such as experience level, gender and geographical location etc., and attempt some correlation testing between those features against salaries across different job roles or countries over time - where possible without having external datasets available terms of area data points matching up perfectly between thematic dimensions presented within the Respondents' Survey Results tab.. Subsets may also prove relevant when carrying out deeper statistical testing—for example isolating particular participation sets like Ireland alone versus looking at just Europe/Middle East/Africa region altogether..

• Finally look at how these factors have changed over time - it's worth bearing in mind that seasonality might play a role here too depending on where respondents originally reside so it could still be relevant if larger trends towards comparing yearly cohorts differs more widely than expected based purely national economic condition context changes during particular quarters throughout those periods tracked in our findings report � comparison purposes if looking country-by-country instead just individual profiles without taking overall stimulant effects into account e.g higher education qualifications among ~2 yr cohorts vs ~3 yr ones across different populations: Comparing annual amounts doled out employers making ultra-quick transitioning easier tracking changes alone isn't feasible because they're normalized

Research Ideas

• Analyzing regional salary gaps amongst data professionals within the same country, or between countries.
• Evaluating trends in salary rates over time by reviewing changes in year over year responses.
• Generating employer profiles by comparing the salary range of employees at different organizations and industries, as well storing demographic info of individuals who participated in the survey (i.e age range, gender etc)

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: 2019_Data_Professional_Salary_Survey_Responses.csv

File: Data_Professional_Salary_Survey_Responses.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Kelly Garrett.

Evaluation of the mediation effect of industrial structure rationalization.