In 2023, Poland counted the highest number of software developers among CEE countries, totaling over ********individuals. At the same time, Ukraine recorded ****** software developers, while Romania came third in the ranking.

The global developer population is expected to reach 28.7 million people by 2024, an increase of 3.2 million from the number seen in 2020. According to the source, much of this growth is expected to occur in China, where the growth rate is between six percent to eight percent heading up to 2023. How much do software developers earn in the U.S.? Software developers work within a wide array of specialties, honing their skills in different programming languages, techniques, or in disciplines such as design. The average salary of U.S.-based designers working in software development reached 108 thousand U.S. dollars as of June 2021, while this figure climbs to 165 thousand U.S. dollars for engineering managers. Salaries are highly dependent on location, however, with an entry-level developer working in the San Francisco/Bay area earning an average of 44.79 percent more than their counterparts starting out in Austin. JavaScript and HTML/CSS still the most widely used languages While programming languages continue to emerge or fall out of favor, JavaScript and HTML/CSS are mainstays of the coding landscape. In a global survey of software developers, over 60 percent of respondents reported using JavaScript, and HTML/CSS. SQL, Python, and Java rounded out the top five.

This statistic shows the number of professional developers in Europe in 2019, ranked by countries. Germany has the highest number of professional developers in Europe with over ***** thousand developers. The United Kingdom ranked second with ***** thousand professional developers.

In the Ukraine in 2020, ** percent of software developers are female. At the other end of the spectrum of European countries in terms of gender composition is Lithuania, where about ** percent of software developers are women. Notably, ***** from the top five countries with the highest share of women in software development are Baltic states. Generally, there are ***** women developers for every ten developers in Europe. Software developers are high in demand Software developers are high in demand on the job market. As software development is a broad category that includes a wide variety of specific tasks and skills to perform the job, there is a great gap between available talent and required staff. In general, software developers are involved in the development process of software, including the analysis of users’ needs or assessing the level of security to ensure that software projects meet requirements. Global gender imbalance in tech industry remains pervasive Overall, the gender composition of professionals employed in the tech industry remains imbalanced, as more males than females are generally employed by global tech companies. This observation can also be made when zooming in on technical positions. For example, women more commonly occupy user experience (UX) designer positions than developer positions.

Overview The Stack Overflow Developer Survey Dataset represents one of the most trusted and comprehensive sources of information about the global developer community. Collected by Stack Overflow through its annual survey, the dataset provides insights into the demographics, preferences, habits, and career paths of developers.

This dataset is frequently used for: - Analyzing trends in programming languages, tools, and technologies. - Understanding developer job satisfaction, compensation, and work environments. - Studying global and regional differences in developer demographics and experience.

The data has of two CSV files, "survey_results_public" that consist of data and "survey_results_schema" that describes each column in detail.

Data Dictionary: All the details are in "survey_results_schema.csv"

Features of the Stack Overflow Developer Survey Dataset

Demographic & Background Information - Respondent: A unique identifier for each survey participant. - MainBranch: Describes whether the respondent is a professional developer, student, hobbyist, etc. - Country: The country where the respondent lives. - Age: The respondent's age. - Gender: The gender identity of the respondent. - Ethnicity: Ethnic background (when available). - EdLevel: The highest level of formal education completed. - UndergradMajor: The respondent's undergraduate major. - Hobbyist: Indicates whether the person codes as a hobby (Yes/No).

Employment & Professional Experience - Employment: Employment status (full-time, part-time, unemployed, student, etc.). - DevType: Types of developer roles the respondent identifies with (e.g., Web Developer, Data Scientist). - YearsCode: Number of years the respondent has been coding. - YearsCodePro: Number of years coding professionally. - JobSat: Job satisfaction level. - CareerSat: Career satisfaction level. - WorkWeekHrs: Approximate hours worked per week. - RemoteWork: Whether the respondent works remotely and how frequently.

Compensation - CompTotal: Total compensation in USD (including salary, bonuses, etc.). - CompFreq: Frequency of compensation (e.g., yearly, monthly).

Learning & Education - LearnCode: How the respondent first learned to code (e.g., online courses, university). - LearnCodeOnline: Online resources used (e.g., YouTube, freeCodeCamp). - LearnCodeCoursesCert: Whether the respondent has taken online courses or earned certifications.

Technology & Tools - LanguageHaveWorkedWith: Programming languages the respondent has used. - LanguageWantToWorkWith: Languages the respondent is interested in learning or using more. - DatabaseHaveWorkedWith: Databases the respondent has experience with. - PlatformHaveWorkedWith: Platforms used (e.g., Linux, AWS, Android). - OpSys: The operating system used most often. - NEWCollabToolsHaveWorkedWith: Collaboration tools used (e.g., Slack, Teams, Zoom). - NEWStuck: How often the respondent feels stuck when coding. - ToolsTechHaveWorkedWith: Frameworks and technologies respondents have worked with.

Online Presence & Community - SOAccount: Whether the respondent has a Stack Overflow account. - SOPartFreq: How often the respondent participates on Stack Overflow. - SOVisitFreq: Frequency of visiting Stack Overflow. - SOComm: Whether the respondent feels welcome in the Stack Overflow community. - OpenSourcer: Level of involvement in open-source contributions.

Opinions & Preferences - WorkChallenge: Challenges faced at work (e.g., unclear requirements, unrealistic expectations). - JobFactors: Important job factors (e.g., salary, work-life balance, technologies used). - MentalHealth: Questions on how mental health affects or is affected by their job.

In 2022, there were approximately *** thousand software developers involved in offshore development in Brazil. Mexico had around *** thousand software developers, while Argentina totaled over 100 thousand.

Turkey Open Jobs: Year to Date: Software Developer data was reported at 1,699.000 Number in Dec 2023. This records an increase from the previous number of 1,573.000 Number for Nov 2023. Turkey Open Jobs: Year to Date: Software Developer data is updated monthly, averaging 690.000 Number from Oct 2017 (Median) to Dec 2023, with 27 observations. The data reached an all-time high of 1,699.000 Number in Dec 2023 and a record low of 44.000 Number in Jan 2021. Turkey Open Jobs: Year to Date: Software Developer data remains active status in CEIC and is reported by Turkish Employment Agency. The data is categorized under Global Database’s Turkey – Table TR.G115: Open Jobs and Job Placements by Profession: Year to Date. [COVID-19-IMPACT]

Context

At the very end of 2017, the Python Software Foundation together with JetBrains conducted an official Python Developers Survey, to identify the latest trends and gather insight into how the Python development world looks today. Over 9,500 developers from almost 150 different countries participated to help map out an accurate landscape of the Python community.

Content

pythondevsurvey2017_raw_data.csv - Raw data collected from the survey. All answers to multiple choice and option questions were left as they were and were not encoded. A list of questions included in the survey could be found here.

Acknowledgements

The Python Software Foundation and JetBrains collected the data and compiled the dataset. An interactive exploratory analysis of the dataset could be found here.

Inspiration

Questions about the current usage of Python, popular types of Python development, Python 2 vs. Python 3, technologies and tools used along Python, Python user profile could be explored and answered.

High-quality, free software engineer jobs Dataset from the United States, in CSV format. Over 58.000 records relevant to investors, recruiters, agencies, and software engineers. We are working on complete datasets from a wide variety of countries. Don't hesitate to contact us for more information.

CSV data from a series of experiments with a total of 410 participants.Case: Participant IDAnchor: High or low depending on the randomly allocated treatmentWorkshop: Y or N depending on the use of a de-biasing interventionCompany: The employing company of the software developer - anonymisedBlock: Specific id of the experiment, e.g., there are multiple deliveries for some companies either at different times or locations.Country: The country where the software development company is locatedEstProd: Estimated coding productivity in LOC per hour for the last completed software project. This is the response variable.NewStudy: Y or N indicating whether the study was part of a second series that included the de-biasing treatment.

We run two series of experiments in company settings with a total of 410 software developers. Some developers took part in a workshop to heighten their awareness of a range of cognitive biases, including anchoring. Later, the anchoring bias was induced by presenting of low or high productivity values, followed by the participants' estimates of their own project productivity. Our hypothesis is that the workshop will lead to reduced bias, i.e., work as a de-biasing intervention.410 cases, 7 featuresP id: Unique participant idWorkshop: Y or N depending on the use of a de-biasing interventionBlock: Specific id of the experiment, e.g., there are multiple deliveries for some companies either at different times or locations.Company: The employing company of the software developer - anonymised Country: The country where the software development company is locatedAnchor: High or low depending on the randomly allocated treatment EstProd: Estimated coding productivity in LOC per hour for the last completed software project. This is the response variable.

Offshore Software Development Market Outlook

The global offshore software development market size was valued at approximately $98 billion in 2023 and is projected to reach around $180 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.1% during the forecast period. This remarkable growth can be attributed to the increasing demand for cost-effective and scalable software solutions across various industries. Companies worldwide are striving to maintain competitiveness, drive innovation, and achieve operational efficiencies, which are significant growth factors propelling the offshore software development market. The rapid digital transformation and globalization have further accelerated the adoption of offshore software development services, creating new opportunities for service providers and users alike.

One of the primary growth factors for the offshore software development market is the continuous advancement in information technology and the growing complexity of software requirements. Organizations are increasingly seeking specialized expertise to develop and maintain complex software systems, which often require niche skills and technologies. Offshore development provides access to a global talent pool with diverse expertise, enabling companies to leverage the latest technologies and methodologies cost-effectively. Furthermore, the increasing integration of artificial intelligence, machine learning, and blockchain technologies into business operations has heightened the demand for specialized software solutions, further fueling the growth of the offshore software development market.

Additionally, the economic pressures and the need to optimize operational costs have driven businesses to explore more cost-effective development solutions. Offshore development offers significant cost savings by leveraging the lower labor costs in developing countries. By outsourcing software development tasks to countries with lower operational costs, businesses can reduce their overall expenditure while maintaining high-quality standards. This cost advantage is a crucial driver for the offshore software development market, especially for small and medium-sized enterprises (SMEs) that may not have the financial resources to maintain large in-house development teams. The flexibility to scale resources up or down based on project requirements also contributes to the attractiveness of offshore software development.

The global shift towards remote work and distributed teams has further accelerated the adoption of offshore software development. The COVID-19 pandemic has demonstrated the viability and effectiveness of remote collaboration, prompting organizations to explore global partnerships for software development. This trend has increased the acceptance of offshore development as a strategic approach to access specialized skills and resources irrespective of geographical boundaries. The ability to manage and coordinate remote teams effectively has become a critical factor in the success of offshore software projects, driving the demand for collaborative tools and platforms that facilitate seamless communication and project management.

Regionally, the Asia Pacific is expected to dominate the offshore software development market due to the presence of a large number of skilled IT professionals and competitive pricing models. Countries like India and the Philippines have established themselves as leading offshore destinations, offering a robust infrastructure and a favorable business environment for software outsourcing. North America and Europe are also significant markets, driven by the demand for advanced software solutions and the need to optimize development costs. Latin America and the Middle East & Africa are emerging markets, offering new opportunities for growth as businesses in these regions increasingly adopt digital transformation initiatives.

Service Type Analysis

The offshore software development market is segmented by service type into custom software development, mobile application development, web development, and others. Custom software development is a significant segment, driven by the unique requirements of businesses seeking tailored solutions to address specific operational needs. The demand for custom software development services is fueled by the need for scalable, efficient, and secure applications that can enhance business processes and improve customer experiences. Companies are increasingly looking for bespoke solutions that can be integrated seamlessly into their existing IT infrastructure, making custom software development a critical component of the offshore software d

This dataset contains a collection of software engineering job listings scraped from LinkedIn. It provides valuable insights into the current job market, job requirements, and company hiring trends.

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Interesting Task Ideas:

1. Analyze the most in-demand software engineering job titles.
2. Explore the geographical distribution of software engineering job opportunities.
3. Identify the most sought-after programming languages and skills in job descriptions.
4. Determine the average years of experience required for different job levels.

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Japan SPPI: ICT: IS: Software Development (SD) data was reported at 106.300 2020=100 in Mar 2025. This records an increase from the previous number of 106.200 2020=100 for Feb 2025. Japan SPPI: ICT: IS: Software Development (SD) data is updated monthly, averaging 94.700 2020=100 from Jan 1985 (Median) to Mar 2025, with 483 observations. The data reached an all-time high of 107.500 2020=100 in Jun 1992 and a record low of 73.200 2020=100 in Mar 1985. Japan SPPI: ICT: IS: Software Development (SD) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I035: Services Producer Price Index (SPPI): 2020=100.

Japan CSPI: IS: Software Development (SD) data was reported at 92.100 2000=100 in Aug 2009. This records a decrease from the previous number of 92.200 2000=100 for Jul 2009. Japan CSPI: IS: Software Development (SD) data is updated monthly, averaging 93.250 2000=100 from Jan 2000 (Median) to Aug 2009, with 116 observations. The data reached an all-time high of 100.700 2000=100 in Feb 2000 and a record low of 90.400 2000=100 in Jun 2006. Japan CSPI: IS: Software Development (SD) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I044: Corporate Service Price Index: 2000=100.

As of 2025, JavaScript and HTML/CSS are the most commonly used programming languages among software developers around the world, with more than 66 percent of respondents stating that they used JavaScript and just around 61.9 percent using HTML/CSS. Python, SQL, and Bash/Shell rounded out the top five most widely used programming languages around the world. Programming languages At a very basic level, programming languages serve as sets of instructions that direct computers on how to behave and carry out tasks. Thanks to the increased prevalence of, and reliance on, computers and electronic devices in today’s society, these languages play a crucial role in the everyday lives of people around the world. An increasing number of people are interested in furthering their understanding of these tools through courses and bootcamps, while current developers are constantly seeking new languages and resources to learn to add to their skills. Furthermore, programming knowledge is becoming an important skill to possess within various industries throughout the business world. Job seekers with skills in Python, R, and SQL will find their knowledge to be among the most highly desirable data science skills and likely assist in their search for employment.

programming languages statistics: The tech market which is also booming along with digital marketing is pretty good for a better income source. The tech market has many other things including programming languages. Programming languages are the basis for the formation of various websites, games, software, mobile applications, etc... There are nearly 9,000 programming languages around the world with each language with its own feature. In this most popular programming language statistics, we will have a look at statistical information and general knowledge about worldwide available various programming languages. Programming Languages Statistics (Editor’s Choice) There are 8,945 programming languages as stated by most popular Programming languages statistics. As of 2022, JavaScript is one of the most popular programming languages as around 47.86% of recruiters are demanding JavaScript language skills. A basic python developer earns between $70,000 to $1,00,00 a year. As per the most popular programming languages statistics Python has ranked number 1 in the United States of America, India, Germany, France, and the United Kingdom

This dataset provides a comprehensive list of countries along with their corresponding country codes. Each entry includes the name of the country and its corresponding code as standardized by international organizations and protocols. This dataset serves as a valuable resource for various applications including data analysis, geographic information systems (GIS), and software development where accurate country identification is required. Researchers, developers, and analysts can utilize this dataset for a wide range of purposes such as data visualization, statistical analysis, and cross-border transactions. The dataset is curated to ensure accuracy and consistency, making it a reliable reference for global country identification.

Philippines ITBPO: Revenue: Software Development data was reported at 3.429 USD bn in 2013. This records an increase from the previous number of 2.848 USD bn for 2012. Philippines ITBPO: Revenue: Software Development data is updated yearly, averaging 1.542 USD bn from Dec 2004 (Median) to 2013, with 10 observations. The data reached an all-time high of 3.429 USD bn in 2013 and a record low of 279.000 USD mn in 2004. Philippines ITBPO: Revenue: Software Development data remains active status in CEIC and is reported by Bangko Sentral ng Pilipinas. The data is categorized under Global Database’s Philippines – Table PH.S013: Information Technology Business Process Outsourcing Survey: Revenue (Discontinued).

Philippines ITBPO: Compensation per Employee: Software Development data was reported at 18,453.000 USD in 2013. This records an increase from the previous number of 17,383.000 USD for 2012. Philippines ITBPO: Compensation per Employee: Software Development data is updated yearly, averaging 12,274.000 USD from Dec 2004 (Median) to 2013, with 10 observations. The data reached an all-time high of 18,453.000 USD in 2013 and a record low of 5,827.000 USD in 2006. Philippines ITBPO: Compensation per Employee: Software Development data remains active status in CEIC and is reported by Bangko Sentral ng Pilipinas. The data is categorized under Global Database’s Philippines – Table PH.S016: Information Technology Business Process Outsourcing Survey: Employment & Compensation (Discontinued).