{ "generated_at": "2026-07-28T10:08:45.261869+00:00", "source_pipeline": "configs/countries/us.yaml → sync_socrata.py + sync_census_popest.py → raw.us_sf_employee_comp → dbt_us_staging (+ seeds seed_us_sf_job_family_display / seed_us_sf_job_reclass) → dbt_us_intermediate → dbt_us_analytics → dbt_us_marts → export_us_sf_payroll.py", "country": "us", "scale": "city", "place": "sf", "unit": "USD", "as_of": "2026-07-13T10:19:58+00:00", "source": { "name": "Employee Compensation", "dataset_id": "88g8-5mnd", "source_url": "https://data.sfgov.org/d/88g8-5mnd", "attribution": "SF Controller's Office", "rows_updated_at": "2026-07-13T10:19:58+00:00" }, "fiscal_year_note": "SF fiscal year N runs July 1 (N-1) to June 30 N. All figures are FISCAL-year accounting only — the source publishes every row under BOTH Calendar and Fiscal accountings and mixing them double-counts (the dataset's #1 trap).", "grain": "fiscal_year × display_family (person grain, primary family)", "bucket_width_usd": 25000, "attribution_note": "A person paid under several job codes in a year is counted ONCE, under the family that paid them the most, and their whole annual compensation is attributed to it — so these counts add up to the citywide headcount exactly. This is NOT the same measure as n_employees in payroll_by_family_year.json, which counts a dual-role person in both families (that file splits dollars, this one splits people).", "ladder_note": "p25/p50/p75 are exact percentiles of per-person annual total compensation (salary + overtime + other pay + benefits) inside each family. A family's median reflects how much of the year its people are paid for as much as its hourly rates: the families the City staffs seasonally sit low on the ladder.", "histogram_note": "Buckets of $25,000 from $0; the top bucket is open (ceiling_usd null). Named cells under 5 people are pooled into the count-only 'Other roles' row of the same year, which names no family. Zero-count buckets are omitted. Summed over families, these cells reproduce the citywide histogram in payroll_distribution.json exactly.", "privacy": { "rule": "No dollar aggregate in this file covers fewer than 5 employees. Groups under 5 people are pooled into visible 'Other roles' rows per department; pools that would themselves stay under the threshold are folded into the department total with no row. Departments under the threshold (the Law Library in practice, 2-3 people) are included in citywide totals but not listed.", "measured_cost": "Pooling moves ~1.2% of total dollars into visible 'Other roles' rows; the department-level fold is under $600k/year (<0.01% of compensation). Nothing is removed from totals.", "count_only_disclosures": "Counts of employees above fixed thresholds (>$200k…>$500k) are published exactly, including values under 5: they attach no dollar amount to any group. The source itself is public at row level (pseudonymized); this site publishes aggregates only." }, "years": { "2013": [ { "display_family": "Health & Hospitals", "is_pooled": false, "n_people": 6312, "total_compensation_usd": 606533638.92, "p25_usd": 34355.0, "p50_usd": 92581.0, "p75_usd": 143663.0, "p90_usd": 185767.0, "n_in_histogram": 6310, "histogram": [ { "floor_usd": 0, "ceiling_usd": 25000, "n_employees": 1286 }, { "floor_usd": 25000, "ceiling_usd": 50000, "n_employees": 619 }, { "floor_usd": 50000, "ceiling_usd": 75000, "n_employees": 546 }, { "floor_usd": 75000, "ceiling_usd": 100000, "n_employees": 1003 }, { "floor_usd": 100000, "ceiling_usd": 125000, "n_employees": 858 }, { "floor_usd": 125000, "ceiling_usd": 150000, "n_employees": 535 }, { "floor_usd": 150000, "ceiling_usd": 175000, "n_employees": 592 }, { "floor_usd": 175000, "ceiling_usd": 200000, "n_employees": 458 }, { "floor_usd": 200000, "ceiling_usd": 225000, "n_employees": 190 }, { "floor_usd": 225000, "ceiling_usd": 250000, "n_employees": 119 }, { "floor_usd": 250000, "ceiling_usd": 275000, "n_employees": 67 }, { "floor_usd": 275000, "ceiling_usd": 300000, "n_employees": 27 }, { "floor_usd": 300000, "ceiling_usd": 325000, "n_employees": 10 } ] }, { "display_family": "Administration & Finance", "is_pooled": false, "n_people": 4446, "total_compensation_usd": 373673097.81, "p25_usd": 67650.0, "p50_usd": 90373.0, "p75_usd": 108963.0, "p90_usd": 132888.0, "n_in_histogram": 4439, "histogram": [ { "floor_usd": 0, "ceiling_usd": 25000, "n_employees": 613 }, { "floor_usd": 25000, "ceiling_usd": 50000, "n_employees": 273 }, { "floor_usd": 50000, "ceiling_usd": 75000, "n_employees": 417 }, { "floor_usd": 75000, "ceiling_usd": 100000, "n_employees": 1532 }, { "floor_usd": 100000, "ceiling_usd": 125000, "n_employees": 1024 }, { "floor_usd": 125000, "ceiling_usd": 150000, "n_employees": 444 }, { "floor_usd": 150000, "ceiling_usd": 175000, "n_employees": 131 }, { "floor_usd": 175000, "ceiling_usd": 200000, "n_employees": 5 } ] }, { "display_family": "Custodial, Food & Service Aides", "is_pooled": false, "n_people": 3544, "total_compensation_usd": 134600210.25, "p25_usd": 7043.0, "p50_usd": 21080.0, "p75_usd": 78545.0, "p90_usd": 86015.0, "n_in_histogram": 3544, "histogram": [ { "floor_usd": 0, "ceiling_usd": 25000, "n_employees": 1869 }, { "floor_usd": 25000, "ceiling_usd": 50000, "n_employees": 364 }, { "floor_usd": 50000, "ceiling_usd": 75000, "n_employees": 296 }, { "floor_usd": 75000, "ceiling_usd": 100000, "n_employees": 960 }, { "floor_usd": 100000, "ceiling_usd": 125000, "n_employees": 55 } ] }, { "display_family": "Trades & Maintenance", "is_pooled": false, "n_people": 3507, "total_compensation_usd": 393923797.83, "p25_usd": 91677.0, "p50_usd": 119297.0, "p75_usd": 140712.0, "p90_usd": 162947.0, "n_in_histogram": 3504, "histogram": [ { "floor_usd": 0, "ceiling_usd": 25000, "n_employees": 256 }, { "floor_usd": 25000, "ceiling_usd": 50000, "n_employees": 193 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