Education & Literacy Statistics
1970–2024
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- Not documented — confirm reuse terms with the seller
- Source / creator
- Supplier-cited: World Bank Open Data; UNESCO Institute for Statistics; UNDP Human Development Reports
- Collection method
- Supplier description: Expansive panel dataset covering 192 countries from 1970 to 2024, with 15 education indicators including literacy rates, school enrollment (primary, secondary, tertiary), government education spending as percentage of GDP, pupil-teacher ratios, mean and expected years of schooling, out-of-school children rates, and gender parity indices. Data is normalized across World Bank income groups and geographic regions, sourced from UNESCO Institute for Statistics, World Bank World Development Indicators, and UNDP Human Development Reports. Contains 10,560 observations suitable for longitudinal education analysis, development economics research, human capital modeling, and SDG 4 (Quality Education) progress tracking.
- Coverage / snapshot
- 1970–2024
- Data last updated
- Not documented
- Update schedule
- Not documented
Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: UNESCO Institute for Statistics: https://uis.unesco.org/; UNDP Human Development Reports: https://hdr.undp.org/data-center Coverage is stated by the supplier; it has not been verified against every record in the full file.
Sample structure score: 100 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 50 / 50 | 150 of 150 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 30 / 30 | 150 of 150 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| country | 0 / 10 | string | 0 / 10 |
| iso3_code | 0 / 10 | string | 0 / 10 |
| year | 0 / 10 | number | 0 / 10 |
| region | 0 / 10 | string | 0 / 10 |
| income_group | 0 / 10 | string | 0 / 10 |
| literacy_rate_pct | 0 / 10 | number | 0 / 10 |
| primary_enrollment_gross_pct | 0 / 10 | number | 0 / 10 |
| secondary_enrollment_gross_pct | 0 / 10 | number | 0 / 10 |
| tertiary_enrollment_gross_pct | 0 / 10 | number | 0 / 10 |
| govt_education_spending_pct_gdp | 0 / 10 | number | 0 / 10 |
| pupil_teacher_ratio_primary | 0 / 10 | number | 0 / 10 |
| mean_years_schooling | 0 / 10 | number | 0 / 10 |
| expected_years_schooling | 0 / 10 | number | 0 / 10 |
| out_of_school_children_pct | 0 / 10 | number | 0 / 10 |
| gender_parity_index_primary | 0 / 10 | number | 0 / 10 |
About this data
Panel dataset with 15 education indicators including literacy rates, school enrollment (primary, secondary, tertiary), government spending as percentage of GDP, pupil-teacher ratios, years of schooling, out-of-school rates, and gender parity indices. Normalized across World Bank income groups and geographic regions, sourced from UNESCO Institute for Statistics, World Bank, and UNDP.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py 1a6ad62b-9291-4ea2-b60d-6da2e6c45a6c --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| country | string | |
| iso3_code | string | |
| year | string | |
| region | string | |
| income_group | string | |
| literacy_rate_pct | string | |
| primary_enrollment_gross_pct | string | |
| secondary_enrollment_gross_pct | string | |
| tertiary_enrollment_gross_pct | string | |
| govt_education_spending_pct_gdp | string | |
| pupil_teacher_ratio_primary | string | |
| mean_years_schooling | string | |
| expected_years_schooling | string | |
| out_of_school_children_pct | string | |
| gender_parity_index_primary | string |
Sample Data
Preview a sample of the data before downloading.
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For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Education & Literacy Statistic" })
// Found: 1a6ad62b-9291-4ea2-b60d-6da2e6c45a6c
get_download_url({ dataset_id: "1a6ad62b-9291-4ea2-b60d-6da2e6c45a6c" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/1a6ad62b-9291-4ea2-b60d-6da2e6c45a6c/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"