TeamedUp Intelligence — China & APAC Salary Data

Calculate total all-in employer headcount cost in China including mandatory statutory social security (五险一金 - Wuxian Yijin: Pension 16%, Medical 6-10%, Housing Fund 5-12%, Unemployment 0.5%, Work Injury 0.2%) with exact municipal floors (60% avg wage) and ceilings (300% avg wage) across 20+ Chinese cities. Accepts an explicit monthly salary or automatically queries market median P50 for a given role and city.

Calculate cross-city compensation arbitrage, payroll savings, and engineering runway expansion between Chinese Tier-1 hubs (Shanghai, Beijing, Shenzhen, Guangzhou) and New Tier-1 expansion hubs (Chengdu, Wuhan, Xi'an, Hefei, Suzhou, Hangzhou, etc.). Computes all-in statutory overhead (五险一金), net annual cash savings in CNY & USD, and equivalent headcount bandwidth.

Retrieve detailed firmographic data on a specific Chinese employer. Includes industry, size tier, ownership type, macro category, and employer brand stats. Use for competitive analysis and compensation benchmarking by employer.

Retrieve paginated historical job postings and salary bands for a specific company by its ID.

Retrieve weekly hiring frequency scores per company/role/city. Shows share-of-voice signals indicating which companies are most actively hiring for which roles. NOT absolute market hiring volume — scores represent frequency within our ingested dataset.

Query aggregated market salary percentiles for a given role, city, seniority, and industry. Returns p25, p50, p75, p90 salary bands with data point counts and confidence levels. Use this to benchmark compensation for specific roles in Chinese and APAC tech labor markets.

Retrieve historical salary trend data for a role/city combination over time. Shows how p50 salaries have changed month over month. Use for salary inflation analysis and time-series compensation modeling.

Get skills ranked by demand frequency in job postings, with associated median salary. Filterable by role, city, region, and skill category. Use for skills gap analysis and tech stack compensation premiums.

Get high-level dataset statistics including total companies, salary datapoints, market summaries, distinct roles and cities, and available calculated months. Accepts an optional "region" argument ("mainland", "greater", "intl").

List all genuine metropolitan and prefecture cities available in the dataset. Accepts an optional "region" argument ("mainland", "greater", "intl"). Use before querying market data to ensure accurate city name matching.

List all standardized job roles available in the dataset. Use this before querying market summaries to ensure accurate role taxonomy matching.

List all taxonomies (industries, seniority levels, education levels, company sizes) available in the dataset. Use this to ensure accurate filtering taxonomy matching.

Search for companies by name (English or Chinese), industry, size tier, or macro industry. Returns firmographic profiles for matching employers. Use for employer discovery and competitive intelligence.