# Global Demographic Transition Tracker (`ntriqpro/global-demographic-transition-tracker`) Actor Aggregate World Bank demographics, Our World in Data, US CDC, and UNESCO UIS (CC-BY-SA). Returns 0-100 transition score. Share-Alike for UNESCO data. - **URL**: https://apify.com/ntriqpro/global-demographic-transition-tracker.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** Business, Education - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $140.00 / 1,000 demographic queries This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Global Demographic Transition Tracker Demographic transition scoring and aging analytics from 4 international public data sources. ### Overview Analyzes population aging, fertility decline, and mortality transition across 195+ countries. Provides demographic transition stage scoring (0-100: youth-focused to aging-focused). ### Data Sources 1. **The World Bank** (CC-BY 4.0) - Total Population (SP.POP.TOTL) - Fertility Rate (SP.DYN.TFRT.IN) - Population Ages 65+ (SP.POP.65UP.TO.ZS) - Life Expectancy (SP.DYN.LE00.IN) - Urban Population % (SP.URB.TOTL.IN.ZS) 2. **Our World in Data** (CC-BY 4.0) - Population time series (graceful skip if unavailable) 3. **US CDC National Center for Health Statistics** (Public Domain) - Life Expectancy (US only) 4. **UNESCO UIS** (CC-BY-SA 4.0 — **Share-Alike required**) - Primary Education Enrollment (Female %) ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `countryCode` | string | "JP" | ISO 3166-1 alpha-2 country code (e.g., JP, US, DE, NG) | ### Output ```json { "countryCode": "JP", "countryName": "Japan", "demographicTransitionScore": 85.3, "indicators": { "totalPopulation": 123456789, "fertilityRate": 1.2, "populationAges65Plus": 28.5, "lifeExpectancy": 84.6, "urbanPopulationPercent": 82.1, "primaryEnrollmentFemale": 101.2 }, "dataAvailability": { "worldBank": true, "owid": true, "cdc": false, "unesco": false }, "successfulSourceCount": 2, "timestamp": "2024-04-08T12:34:56.789Z" } ```` ### Demographic Transition Score **Scale:** 0–100 - **0–20** = Stage 1–2 (High fertility, youth-focused). Example: Niger (NG) - **20–40** = Stage 2–3 (Declining fertility, youth-focused). Example: Nigeria (NG) - **40–60** = Stage 3 (Low fertility, transition). Example: Mexico (MX) - **60–80** = Stage 4 (Very low fertility, aging). Example: South Korea (KR) - **80–100** = Stage 4–5 (Lowest fertility, highest aging). Example: Japan (JP) ### Pricing - **Event:** `demographic_query` - **Price:** $0.14 USD per query - **Charge:** Only if ≥1 data source succeeds ### Legal Disclaimer **NOT demographic policy, pension, healthcare, or investment advice.** Historical data aggregation only. #### Data Sources Attribution - Data source: The World Bank (CC BY 4.0) - Data source: Our World in Data (CC BY 4.0) - Data source: US CDC National Center for Health Statistics - Data source: UNESCO UIS (CC-BY-SA 4.0 — **Share-Alike required**) #### Share-Alike Notice (UNESCO) UNESCO UIS data requires derivative work licensing under CC-BY-SA 4.0. Any derivative publication must apply the same Share-Alike license. ### Examples #### Japan (aging) ```bash apify call --input='{"countryCode":"JP"}' ``` #### Nigeria (youth-focused) ```bash apify call --input='{"countryCode":"NG"}' ``` ### Notes - World Bank data is most comprehensive; always fetches 5 demographic indicators - OWID provides additional population verification (graceful skip if unavailable) - CDC data is US-only - UNESCO data is limited; graceful skip if unavailable - All APIs implement exponential backoff retry (3 attempts, 1s–8s delay) - Timeout: 20 seconds per request - No data caching; real-time retrieval only ### Version 1.0.0 # Actor input Schema ## `countryCode` (type: `string`): ISO 3166-1 alpha-2 country code (e.g., JP, US, DE, NG) ## Actor input object example ```json { "countryCode": "JP" } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "countryCode": "JP" }; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/global-demographic-transition-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "countryCode": "JP" } # Run the Actor and wait for it to finish run = client.actor("ntriqpro/global-demographic-transition-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "countryCode": "JP" }' | apify call ntriqpro/global-demographic-transition-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/global-demographic-transition-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Global Demographic Transition Tracker", "description": "Aggregate World Bank demographics, Our World in Data, US CDC, and UNESCO UIS (CC-BY-SA). Returns 0-100 transition score. Share-Alike for UNESCO data.", "version": "1.0", "x-build-id": "21giMObflpwuTqmIN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~global-demographic-transition-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-global-demographic-transition-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~global-demographic-transition-tracker/runs": { "post": { "operationId": "runs-sync-ntriqpro-global-demographic-transition-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~global-demographic-transition-tracker/run-sync": { "post": { "operationId": "run-sync-ntriqpro-global-demographic-transition-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "countryCode": { "title": "Country Code (ISO 2-letter)", "type": "string", "description": "ISO 3166-1 alpha-2 country code (e.g., JP, US, DE, NG)", "default": "JP" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```