Among the OECD countries, Canada had the highest proportion of adults with a tertiary education in 2022. About 63 percent of Canadians had achieved a tertiary education in that year. Japan followed with about 56 percent of the population having completed a tertiary education, while in Ireland the share was roughly 54 percent. In India, on the other hand, less than 13 percent of the adult population had completed a tertiary education in 2022.

In 2022, Canada had the highest share of adults with a university degree, at over 60 percent of those between the ages of 25 and 64. India had the smallest share of people with a university degree, at 13 percent of the adult population. University around the world Deciding which university to attend can be a difficult decision for some and in today’s world, people are not left wanting for choice. There are thousands of universities around the world, with the highest number found in India and Indonesia. When picking which school to attend, some look to university rankings, where Harvard University in the United States consistently comes in on top. Moving on up One of the major perks of attending university is that it enables people to move up in the world. Getting a good education is generally seen as a giant step along the path to success and opens up doors for future employment. Future earnings potential can be determined by which university one attends, whether by the prestige of the university or the connections that have been made there. For instance, graduates from the Stanford Graduate School of Business can expect to earn around 250,000 U.S. dollars annually.

In 2022, about 37.7 percent of the U.S. population who were aged 25 and above had graduated from college or another higher education institution, a slight decline from 37.9 the previous year. However, this is a significant increase from 1960, when only 7.7 percent of the U.S. population had graduated from college. Demographics Educational attainment varies by gender, location, race, and age throughout the United States. Asian-American and Pacific Islanders had the highest level of education, on average, while Massachusetts and the District of Colombia are areas home to the highest rates of residents with a bachelor’s degree or higher. However, education levels are correlated with wealth. While public education is free up until the 12th grade, the cost of university is out of reach for many Americans, making social mobility increasingly difficult. Earnings White Americans with a professional degree earned the most money on average, compared to other educational levels and races. However, regardless of educational attainment, males typically earned far more on average compared to females. Despite the decreasing wage gap over the years in the country, it remains an issue to this day. Not only is there a large wage gap between males and females, but there is also a large income gap linked to race as well.

Compares distribution of highest certificate, diploma or degree between provinces and territories. Allows sorting/ranking of provinces and territories by percentage.

******* was the European country with the highest share of graduates in 2024, with almost **** of those aged between 15 and 64 having a degree. On the contrary, only ** percent of the population aged 15 to 64 in ********************** hold a tertiary education title.

In an impressive increase from years past, 39 percent of women in the United States had completed four years or more of college in 2022. This figure is up from 3.8 percent of women in 1940. A significant increase can also be seen in males, with 36.2 percent of the U.S. male population having completed four years or more of college in 2022, up from 5.5 percent in 1940.

4- and 2-year colleges

In the United States, college students are able to choose between attending a 2-year postsecondary program and a 4-year postsecondary program. Generally, attending a 2-year program results in an Associate’s Degree, and 4-year programs result in a Bachelor’s Degree.

Many 2-year programs are designed so that attendees can transfer to a college or university offering a 4-year program upon completing their Associate’s. Completion of a 4-year program is the generally accepted standard for entry-level positions when looking for a job.

Earnings after college

Factors such as gender, degree achieved, and the level of postsecondary education can have an impact on employment and earnings later in life. Some Bachelor’s degrees continue to attract more male students than female, particularly in STEM fields, while liberal arts degrees such as education, languages and literatures, and communication tend to see higher female attendance.

All of these factors have an impact on earnings after college, and despite nearly the same rate of attendance within the American population between males and females, men with a Bachelor’s Degree continue to have higher weekly earnings on average than their female counterparts.

Students from the Chinese ethnic group had the highest entry rate into higher education in every year from 2006 to 2024.

AU: Government Expenditure per Student: Tertiary: % of GDP per Capita data was reported at 17.830 % in 2016. This records a decrease from the previous number of 21.466 % for 2015. AU: Government Expenditure per Student: Tertiary: % of GDP per Capita data is updated yearly, averaging 21.662 % from Dec 1995 (Median) to 2016, with 6 observations. The data reached an all-time high of 26.575 % in 1995 and a record low of 17.830 % in 2016. AU: Government Expenditure per Student: Tertiary: % of GDP per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Education Statistics. Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.;UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.;Median;

This graph shows the educational attainment of the U.S. population from in 2018, according to ethnicity. Around 56.5 percent of Asians and Pacific Islanders in the U.S. have graduated from college or obtained a higher educational degree in 2018.

United States US: GERD per Capita Population: Current PPP data was reported at 2,767.780 % in 2022. This records an increase from the previous number of 2,472.601 % for 2021. United States US: GERD per Capita Population: Current PPP data is updated yearly, averaging 972.628 % from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 2,767.780 % in 2022 and a record low of 316.293 % in 1981. United States US: GERD per Capita Population: Current PPP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

For the United States, from 2021 onwards, changes to the US BERD survey questionnaire allowed for more exhaustive identification of acquisition costs for ‘identifiable intangible assets’ used for R&D. This has resulted in a substantial increase in reported R&D capital expenditure within BERD. In the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008. From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.

Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly. Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category “wholesale trade” and consequently the BERD for total services.

U.S. R&D data are generally comparable, but there are some areas of underestimation:

1. i) Up to 2008, Government sector R&D performance covers only federal government activities. That by State and local government establishments is excluded;
2. ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures. For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.

Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.

The methodology for estimating researchers was changed as of 1985. In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities. As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.

Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector. The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.

Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000. 2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure – “R&D plant” in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

This table contains 28 series, with data for years 2007/2008 - 2014/2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...) Statistics (2 items: Expenditure per capita; Index of change).

United Kingdom UK: Government Expenditure per Student: Secondary: % of(GDP) Gross Domestic Productper Capita data was reported at 23.423 % in 2015. This records an increase from the previous number of 22.903 % for 2014. United Kingdom UK: Government Expenditure per Student: Secondary: % of(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 23.700 % from Dec 1998 (Median) to 2015, with 17 observations. The data reached an all-time high of 31.349 % in 2010 and a record low of 21.138 % in 1999. United Kingdom UK: Government Expenditure per Student: Secondary: % of(GDP) Gross Domestic Productper Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Education Statistics. Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;

Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

academic staff, Access to anti-retroviral drugs, Adjusted net enrollment rate, Administration and Law programmes, Age at first marriage, Age dependency ratio, Cause of death, Children out of school, Completeness of birth registration, consumer prices, Cost of business start-up procedures, Employers, Employment in agriculture, Employment in industry, Employment in services, employment or training, Engineering and Mathematics programmes, Female headed households, Female migrants, Fertility planning status: mistimed pregnancy, Fertility planning status: planned pregnancy, Fertility rate, Firms with female participation in ownership, Fisheries and Veterinary programmes, Forestry, GDP, GDP growth, GDP per capita, gender parity index, Gini index, GNI, GNI per capita, Government expenditure on education, Government expenditure per student, Gross graduation ratio, Households with water on the premises, Inflation, Informal employment, Labor force, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Learning poverty, Length of paid maternity leave, Life expectancy at birth, Mandatory retirement age, Manufacturing and Construction programmes, Mathematics and Statistics programmes, Number of under-five deaths, Part time employment, Population, Poverty headcount ratio at national poverty lines, PPP, Primary completion rate, Retirement age with full benefits, Retirement age with partial benefits, Rural population, Sex ratio at birth, Unemployment, Unemployment with advanced education, Urban population

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

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This policy note is part of the World Bank's Programmatic Public Expenditure Review (PER) work program for FY2012-2014. The PER consists of a series of fiscal policy notes, which aim at providing the Government of Tajikistan with recommendations to strengthen budgetary processes and analysis. This policy note, the third in the series, examines public expenditures on education in Tajikistan, focusing on assessing efficiency and equity of general education spending. Section 2 reviews the characteristics of Tajikistan's educational system, including access and equity in enrollment and quality of education. Section 3 analyzes overall public spending on education and a breakdown by financing source, subsector, and expenditure category, as well as unit costs by level of education. Section 4 examines general education financing, which is the largest spending unit within the education sector, in more depth. Section 5 covers demographic trends and enrollment projections and their implications on education spending. Section 6 provides the main conclusions: 1) the level of public spending on education in Tajikistan is comparable to similarly developed countries; 2) the pre-school enrollment rate is extremely low; 3) while primary education is near universal with gender parity, early dropouts are a significant problem; 4) available evidence suggests poor quality of early learning at pre-primary and primary levels; 5) the current wage system does not provide strong incentives for highly qualified new and experienced teachers; 6) per capita financing of general education has resulted in many positive outcomes overall, but implementation varies by district; 7) unit costs for new construction of school infrastructure vary considerably; 8) high unit costs of pre-school, vocational, and tertiary education suggest significant inefficiencies within these sub-sectors; and 9) demographic developments put an upward pressure on educational spending, particularly for increasing general secondary education spending. Methods to increase the fiscal space for education are discussed.

Explore the Saudi Arabia World Development Indicators dataset , including key indicators such as Access to clean fuels, Adjusted net enrollment rate, CO2 emissions, and more. Find valuable insights and trends for Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, and India.

Indicator, Access to clean fuels and technologies for cooking, rural (% of rural population), Access to electricity (% of population), Adjusted net enrollment rate, primary, female (% of primary school age children), Adjusted net national income (annual % growth), Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: natural resources depletion (% of GNI), Adjusted savings: net national savings (current US$), Adolescents out of school (% of lower secondary school age), Adolescents out of school, female (% of female lower secondary school age), Age dependency ratio (% of working-age population), Agricultural methane emissions (% of total), Agriculture, forestry, and fishing, value added (current US$), Agriculture, forestry, and fishing, value added per worker (constant 2015 US$), Alternative and nuclear energy (% of total energy use), Annualized average growth rate in per capita real survey mean consumption or income, total population (%), Arms exports (SIPRI trend indicator values), Arms imports (SIPRI trend indicator values), Average working hours of children, working only, ages 7-14 (hours per week), Average working hours of children, working only, male, ages 7-14 (hours per week), Cause of death, by injury (% of total), Cereal yield (kg per hectare), Changes in inventories (current US$), Chemicals (% of value added in manufacturing), Child employment in agriculture (% of economically active children ages 7-14), Child employment in manufacturing, female (% of female economically active children ages 7-14), Child employment in manufacturing, male (% of male economically active children ages 7-14), Child employment in services (% of economically active children ages 7-14), Child employment in services, female (% of female economically active children ages 7-14), Children (ages 0-14) newly infected with HIV, Children in employment, study and work (% of children in employment, ages 7-14), Children in employment, unpaid family workers (% of children in employment, ages 7-14), Children in employment, wage workers (% of children in employment, ages 7-14), Children out of school, primary, Children out of school, primary, male, Claims on other sectors of the domestic economy (annual growth as % of broad money), CO2 emissions (kg per 2015 US$ of GDP), CO2 emissions (kt), CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion), CO2 emissions from transport (% of total fuel combustion), Communications, computer, etc. (% of service exports, BoP), Condom use, population ages 15-24, female (% of females ages 15-24), Container port traffic (TEU: 20 foot equivalent units), Contraceptive prevalence, any method (% of married women ages 15-49), Control of Corruption: Estimate, Control of Corruption: Percentile Rank, Upper Bound of 90% Confidence Interval, Control of Corruption: Standard Error, Coverage of social insurance programs in 4th quintile (% of population), CPIA building human resources rating (1=low to 6=high), CPIA debt policy rating (1=low to 6=high), CPIA policies for social inclusion/equity cluster average (1=low to 6=high), CPIA public sector management and institutions cluster average (1=low to 6=high), CPIA quality of budgetary and financial management rating (1=low to 6=high), CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high), Current education expenditure, secondary (% of total expenditure in secondary public institutions), DEC alternative conversion factor (LCU per US$), Deposit interest rate (%), Depth of credit information index (0=low to 8=high), Diarrhea treatment (% of children under 5 who received ORS packet), Discrepancy in expenditure estimate of GDP (current LCU), Domestic private health expenditure per capita, PPP (current international $), Droughts, floods, extreme temperatures (% of population, average 1990-2009), Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative), Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative), Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative), Electricity production from coal sources (% of total), Electricity production from nuclear sources (% of total), Employers, total (% of total employment) (modeled ILO estimate), Employment in industry (% of total employment) (modeled ILO estimate), Employment in services, female (% of female employment) (modeled ILO estimate), Employment to population ratio, 15+, male (%) (modeled ILO estimate), Employment to population ratio, ages 15-24, total (%) (national estimate), Energy use (kg of oil equivalent per capita), Export unit value index (2015 = 100), Exports of goods and services (% of GDP), Exports of goods, services and primary income (BoP, current US$), External debt stocks (% of GNI), External health expenditure (% of current health expenditure), Female primary school age children out-of-school (%), Female share of employment in senior and middle management (%), Final consumption expenditure (constant 2015 US$), Firms expected to give gifts in meetings with tax officials (% of firms), Firms experiencing losses due to theft and vandalism (% of firms), Firms formally registered when operations started (% of firms), Fixed broadband subscriptions, Fixed telephone subscriptions (per 100 people), Foreign direct investment, net outflows (% of GDP), Forest area (% of land area), Forest area (sq. km), Forest rents (% of GDP), GDP growth (annual %), GDP per capita (constant LCU), GDP per unit of energy use (PPP $ per kg of oil equivalent), GDP, PPP (constant 2017 international $), General government final consumption expenditure (current LCU), GHG net emissions/removals by LUCF (Mt of CO2 equivalent), GNI growth (annual %), GNI per capita (constant LCU), GNI, PPP (current international $), Goods and services expense (current LCU), Government Effectiveness: Percentile Rank, Government Effectiveness: Percentile Rank, Lower Bound of 90% Confidence Interval, Government Effectiveness: Standard Error, Gross capital formation (annual % growth), Gross capital formation (constant 2015 US$), Gross capital formation (current LCU), Gross fixed capital formation, private sector (% of GDP), Gross intake ratio in first grade of primary education, male (% of relevant age group), Gross intake ratio in first grade of primary education, total (% of relevant age group), Gross national expenditure (current LCU), Gross national expenditure (current US$), Households and NPISHs Final consumption expenditure (constant LCU), Households and NPISHs Final consumption expenditure (current US$), Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $), Households and NPISHs final consumption expenditure: linked series (current LCU), Human capital index (HCI) (scale 0-1), Human capital index (HCI), male (scale 0-1), Immunization, DPT (% of children ages 12-23 months), Import value index (2015 = 100), Imports of goods and services (% of GDP), Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24), Incidence of HIV, all (per 1,000 uninfected population), Income share held by highest 20%, Income share held by lowest 20%, Income share held by third 20%, Individuals using the Internet (% of population), Industry (including construction), value added (constant LCU), Informal payments to public officials (% of firms), Intentional homicides, male (per 100,000 male), Interest payments (% of expense), Interest rate spread (lending rate minus deposit rate, %), Internally displaced persons, new displacement associated with conflict and violence (number of cases), International tourism, expenditures for passenger transport items (current US$), International tourism, expenditures for travel items (current US$), Investment in energy with private participation (current US$), Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate), Development

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VN: Government Expenditure per Student: Primary: % of GDP per Capita data was reported at 20.911 % in 2013. This records an increase from the previous number of 20.626 % for 2012. VN: Government Expenditure per Student: Primary: % of GDP per Capita data is updated yearly, averaging 19.184 % from Dec 2008 (Median) to 2013, with 6 observations. The data reached an all-time high of 20.911 % in 2013 and a record low of 17.387 % in 2011. VN: Government Expenditure per Student: Primary: % of GDP per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank: Education Statistics. Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

• Country: Name of the country.
• Density (P/Km2): Population density measured in persons per square kilometer.
• Abbreviation: Abbreviation or code representing the country.
• Agricultural Land (%): Percentage of land area used for agricultural purposes.
• Land Area (Km2): Total land area of the country in square kilometers.
• Armed Forces Size: Size of the armed forces in the country.
• Birth Rate: Number of births per 1,000 population per year.
• Calling Code: International calling code for the country.
• Capital/Major City: Name of the capital or major city.
• CO2 Emissions: Carbon dioxide emissions in tons.
• CPI: Consumer Price Index, a measure of inflation and purchasing power.
• CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
• Currency_Code: Currency code used in the country.
• Fertility Rate: Average number of children born to a woman during her lifetime.
• Forested Area (%): Percentage of land area covered by forests.
• Gasoline_Price: Price of gasoline per liter in local currency.
• GDP: Gross Domestic Product, the total value of goods and services produced in the country.
• Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
• Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
• Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
• Largest City: Name of the country's largest city.
• Life Expectancy: Average number of years a newborn is expected to live.
• Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
• Minimum Wage: Minimum wage level in local currency.
• Official Language: Official language(s) spoken in the country.
• Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
• Physicians per Thousand: Number of physicians per thousand people.
• Population: Total population of the country.
• Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
• Tax Revenue (%): Tax revenue as a percentage of GDP.
• Total Tax Rate: Overall tax burden as a percentage of commercial profits.
• Unemployment Rate: Percentage of the labor force that is unemployed.
• Urban Population: Percentage of the population living in urban areas.
• Latitude: Latitude coordinate of the country's location.
• Longitude: Longitude coordinate of the country's location.

Potential Use Cases

• Analyze population density and land area to study spatial distribution patterns.
• Investigate the relationship between agricultural land and food security.
• Examine carbon dioxide emissions and their impact on climate change.
• Explore correlations between economic indicators such as GDP and various socio-economic factors.
• Investigate educational enrollment rates and their implications for human capital development.
• Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
• Study labor market dynamics through indicators such as labor force participation and unemployment rates.
• Investigate the role of taxation and its impact on economic development.
• Explore urbanization trends and their social and environmental consequences.

The K-12 education services market is experiencing robust growth, driven by increasing disposable incomes, rising awareness of the importance of quality education, and the proliferation of technology-enabled learning solutions. The market, encompassing both online and offline offerings, caters to a diverse range of student needs, from single-subject courses to comprehensive programs. While traditional classroom-based learning remains prevalent, online learning platforms are rapidly gaining traction, fueled by the convenience and accessibility they offer. This shift is particularly noticeable in regions with robust internet penetration and a growing tech-savvy population, such as North America and Asia-Pacific. Key players like VIPKid, Yuanfudao, and Byju's are leveraging technological advancements to deliver personalized and engaging learning experiences, leading to increased market competition and innovation. However, challenges remain, including the digital divide, ensuring equitable access to quality education across socio-economic groups, and maintaining the effectiveness of online learning environments compared to in-person interaction. The segmentation by course type (single vs. comprehensive) highlights varying market demands and pricing strategies. Future growth will likely depend on addressing these challenges while further integrating technology to personalize learning and improve student outcomes. The forecast period (2025-2033) anticipates continued expansion, albeit at a potentially moderating CAGR compared to the historical period (2019-2024). Factors influencing this include market saturation in certain segments, regulatory changes in specific regions, and the ongoing evolution of educational technologies. The regional breakdown shows a significant concentration in North America and Asia-Pacific, reflecting higher per-capita spending on education and a large student population. However, growth opportunities exist in emerging markets in regions like Africa and South America, where increased investment in education infrastructure and digital literacy initiatives could significantly boost market size. The competitive landscape is highly dynamic, with both established players and emerging EdTech startups vying for market share. Success will hinge on the ability to adapt to evolving student needs, innovate learning methodologies, and establish strong brand recognition and trust amongst parents and educators.

Israel IL: GERD per Capita Population: Current PPP data was reported at 3,140.198 % in 2022. This records an increase from the previous number of 2,668.545 % for 2021. Israel IL: GERD per Capita Population: Current PPP data is updated yearly, averaging 1,091.329 % from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 3,140.198 % in 2022 and a record low of 347.678 % in 1991. Israel IL: GERD per Capita Population: Current PPP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Israel – Table IL.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

For Israel, defence R&D is excluded. Both the business enterprise and higher education surveys were improved in 2009, causing a break in series for the BERD financed by the rest of the world and by the Business Enterprise sector, as well as a break in 2007 for the HERD financed by the rest of the world and by the Higher Education sector. Since 2001, the government sector is covered by a survey; beforehand government R&D was estimated through financial reports and interviews of accountants. From 2000 onwards, hospitals were re-classified to the business sector from the government and PNP sectors.

Data for the higher education sector are partly based on universities’ financial reports. Before 2008, humanities and law are only partially covered in the higher education sector.

The 2009 BERD survey has given more options to businesses to break down the data by sources of funds. Using the results of the 2009 survey, BERD and GERD financed by Business Enterprises and by the rest of the world were revised back to 1993.

"Employment income statistics by occupation minor group, Indigenous identity, highest level of education, work activity during the reference year, age and gender: Canada, provinces and territories and census metropolitan areas with parts (1)Frequency: OccasionalTable: 98-10-0587-01Release date: 2023-06-21Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partUniverse: Population aged 15 years and over with weeks worked in 2020 and employment income in 2020, in private households, 2021 Census — 25% Sample dataVariable List: Occupation - Minor group - National Occupational Classification (NOC) 2021 (309A), Statistics (3), Indigenous identity (9), Highest certificate, diploma or degree (7), Work activity during the reference year (4), Gender and age (7), Employment income statistics (3)Abbreviation notes: List of abbreviations and acronyms found within various Census products. (https://www12.statcan.gc.ca/census-recensement/2021/ref/symb-ab-acr-eng.cfm) iBall: i24 Geography name: Hamilton; Geographic area type: Census metropolitan area; Geographic area type abbreviation: CMA; Geographic level: Census metropolitan area; Province or territory abbreviation: Ont.; Dissemination Geography Unique Identifier (DGUID): 2021S0503537; Alternative geographic code: 537; Province or territory geocode: 35; Long-form total non-response rate: 3.0; Data quality flag: 00000; Data quality note: ... Footnotes: 1 The concept of work activity is derived based on responses to the number of weeks worked during the reference year and during those weeks worked in 2020, if the individual worked mostly full-time or part-time. The work activity concept uses the reference year January to December 2020, as does census income data. As a result, when comparing to income data, there could be workers reporting a certain number of weeks worked in 2020 without any earnings reported for that year. There could also be workers who did not report any work activity (no weeks worked) in 2020 but did have earnings in that year. Although it is possible to have pre-payment or retroactive pay of employment income, it is uncertain if the extent of such arrangements is captured accurately in the long-form questionnaire. Moreover, some self-employed workers receive dividends instead of earnings and proxy reporting as well as respondents' inaccurate recall for the year 2020 could also be contributing factors to explain these inconsistencies. 2 Indigenous identity Indigenous identity refers to whether the person identified with the Indigenous peoples of Canada. This includes those who identify as First Nations (North American Indian), Métis and/or Inuk (Inuit), and/or those who report being Registered or Treaty Indians (that is, registered under the Indian Act of Canada), and/or those who have membership in a First Nation or Indian band. Aboriginal peoples of Canada (referred to here as Indigenous peoples) are defined in the Constitution Act, 1982, Section 35 (2) as including the Indian, Inuit and Métis peoples of Canada. 3 Highest certificate, diploma or degree Highest certificate, diploma or degree is the classification used in the census to measure the broader concept of 'Educational attainment.' This variable refers to the highest level of education that a person has successfully completed and is derived from the educational qualifications questions, which asked for all certificates, diplomas and degrees to be reported. The general hierarchy used in deriving this variable (high school, trades, college, university) is loosely tied to the 'in-class' duration of the various types of education. At the detailed level, someone who has completed one type of certificate, diploma or degree will not necessarily have completed the credentials listed below it in the hierarchy. For example, a person with an apprenticeship or trades certificate or diploma may not have completed a high school certificate or diploma, nor does an individual with a 'master's degree' necessarily have a 'university certificate or diploma above bachelor level.' Although the hierarchy may not fit all programs perfectly, it gives a general measure of educational attainment. This variable is reported for persons aged 15 years and over in private households. 4 Work activity during the reference year 'Work activity during the reference year' refers to whether or not a person 15 years or over worked during the reference year. For those who did work, this refers to the number of weeks in which the person worked for pay or in self-employment during the reference year at all jobs held, even if only for a few hours, and whether these weeks were mostly full time (30 hours or more per week) or mostly part time (less than 30 hours per week). 5 Age Age refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date). Gender Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender. Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol. 6 Occupation (based on the National Occupational Classification [NOC] 2021 Version 1.0) Occupation refers to the kind of work performed in a job, a job being all the tasks carried out by a particular worker to complete his or her duties. An occupation is a set of jobs that are sufficiently similar in work performed. Kind of work is described in terms of tasks, duties and responsibilities, often including factors such as materials processed or used, the industrial processes used, the equipment used, and the products or services provided. Occupations are generally homogeneous with respect to skill type and skill level. Occupation applies to the contribution of labour to that part of economic activity that is within the production boundary defined for the System of National Accounts. 7 Users should be aware that the estimates associated with this variable are more affected than most by the incomplete enumeration of certain reserves and settlements in the Census of Population. For more information on Indigenous variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Indigenous Peoples Reference Guide, Census of Population, 2021 and the Indigenous Peoples Technical Report, Census of Population, 2021. 8 This category includes persons who identify as any two or all three of the following: First Nations (North American Indian), Métis and/or Inuk (Inuit). 9 This category includes persons who do not identify as First Nations (North American Indian), Métis or Inuk (Inuit) but who report having Registered or Treaty Indian status and/or Membership in a First Nation or Indian band. 10 College, CEGEP and other non-university certificates and diplomas obtained from programs that are typically completed in less than 3 months are not included in this category. 11 Refers to the number of weeks in which a person aged 15 years and over worked for pay or in self-employment in 2020 at all jobs held, even if only for a few hours, and whether these weeks were mostly full time (30 hours or more per week) or mostly part time (less than 30 hours per week). 12 Employment income - All income received as wages, salaries and commissions from paid employment and net self-employment income from farm or non-farm unincorporated business and/or professional practice during the reference period. For the 2021 Census, the reference period for income data is the calendar year 2020, unless otherwise specified. 13 Refers to the kind of work performed by persons aged 15 years and over as determined by their kind of work and the description of the main activities in their job. The occupation data are produced according to the National Occupational Classification [NOC] 2021 version 1.0. Occupation codes are based on write-in descriptions of the respondents’ job title and main duties/responsibilities. Incomplete or vague write-in responses can reduce the accuracy of the codes assigned, particularly for the most detailed levels of the occupation classification. For example, when ‘sales’ is provided as a description of main duties or responsibilities, any one of the codes corresponding to sales associate, sales supervisor or sales manager could be assigned. The potential for inaccuracy in occupation codes is elevated for smaller domains, when increased sampling variability also impacts the accuracy of estimates. In such situations, users are advised to consider using broader occupation categories. 14 Includes persons aged 15 years and over who never worked for