Ebe data
Dataset ọbụla n'okpuru nọmba
All nke ya bụ ndị mmadụ, free na federal. Ọ dịghị nke ya bụ proprietary ka anyị. The advantage is not access - ọ bụ na a saịtị funded site na course ahịa nwere ike gaghị akwụ ụgwọ iji gosipụta ihe data a na-ekwu.
| Òtù | Ihe ọ na-enye anyị | Oge | Nbanye |
|---|---|---|---|
| Nhazi US Census Bureau, afọ |
Ndesịta na resiwọtị maka azụmahịa na-enweghị ndị ọrụ, e wepụrụ ya site na resiwọtị-ụhara klas. Ọ bụ nke ahụ bụ nke na-eme ka ọnụọgụgụ mmehie dị ike ịhazi n'ụzọ ọbụla. | National, state, metro, county | API nke ndị ọha na eze |
| IRS Statistics nke Income Nnukwu ndị nwe, afọ site na 2000 |
Receipt, deductions na net income site na ụlọ ọrụ site Schedule C filings. The ogologo series bụ ihe na-enye anyị ike ịchọpụta a ụzọ na-ehichapụ karịa na-eche na ya. | National, ụfọdụ steeti na mpaghara | E bipụtara ndesịta ihenhọrọ ndị ahụ |
| Nkọwapụta Platform Na-adabere na plataụlụm |
Nhazi nkwụghachi nke ọha, akwụkwọ ndenye ego na ozi n'okporo ụzọ. Ejirila maka tier-2 ihe ngosipụta ebe Federal codes bụ n'okporo ụzọ. | Òtù | Ụlọọrụ |
Ébūbúlàrị̀, a nàghị́ eji ya
Coverage na-amụba naanị ebe mba na-ebipụta nchịkwa ndekọ dị mma nke ukwuu iji kwalite n'eziokwu nkwụsị ọnụọgụgụ. Four na-eme. Nkọwa ha ebe a bụ n'ihi n'eziokwu, ọ bụghị n'ihi na ha bụ ndụ.
- France — INSEE base Non-salariés, e mepụtara site na URSSAF social-security records. The strongest non-US source we have found.
- Australia — ATO Taxation Statistics, ndị mmadụ na azụmahịa site na koodu ụlọ ọrụ na-agbanye site na ọnụọgụgụ ego.
- United Kingdom — HMRC Survey of Personal Incomes, na-ekpuchi ego nke ọrụ onwe onye site na ụlọ ọrụ.
- Canada — Statistics Canada, nke na-eji ụdị ụlọ ọrụ dị ka United States.
Ihe anyị na-ejighị n'aka
Screenshots nke ego dashboards, ego ozi e bipụtara site na ndị mmadụ na-ere a n'elu ụzọ, na n'ime obodo nnyocha results egosipụtara na-enweghị a response rate. Ha niile na-egosi a self-ehọrọ otu nke ndị mmadụ na-ahọrọ ịgwa banyere ya, nke bụ na-egosipụta bias ebe a na-echekwa iji wepu.
Ogo ndị a ma ama
Industry codes are coarser than methods, so several methods may share one denominator; where that happens the figure is labelled as shared. The smallest receipts are excluded from nonemployer data, meaning the true share earning almost nothing is likely higher than we report. Gig income paid on a W-2 does not appear in sole-proprietor statistics. And federal data lags by roughly two years, so a method that collapsed recently can still look healthy in the numbers. Every record carries a confidence marker reflecting these.
Olee otú isi mmalite ndị a ga-esi bụrụ ihe ngosi a pụtapụtala