--- license: cc-by-4.0 language: - en pretty_name: Office Blues — Misery Data tags: - labor-statistics - wages - bls-oews - burnout - open-data - united-states - economics size_categories: - n<1K source_datasets: - original configs: - config_name: occupation_wages data_files: data/occupation_wages.csv - config_name: city_burnout_index data_files: data/city_burnout_index.csv --- ![Office Blues — Misery Data](banner.png) # Misery Data — the cost of work, in numbers [![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.20534485-0047FF?style=flat-square)](https://doi.org/10.5281/zenodo.20534485) [![License: CC BY 4.0](https://img.shields.io/badge/License-CC%20BY%204.0-FF2D2D?style=flat-square)](https://creativecommons.org/licenses/by/4.0/) [![Website](https://img.shields.io/badge/site-officeblues.net-0A0A0A?style=flat-square)](https://officeblues.net) [![Source](https://img.shields.io/badge/GitHub-officeblues%2Fmisery--data-0A0A0A?style=flat-square&logo=github)](https://github.com/officeblues/misery-data) Two small, clean, public datasets on **what work actually costs you** — maintained by **[Office Blues](https://officeblues.net)**, a tools-and-data project for the unhappily employed. Built from federal sources, free to reuse, easy to cite. > **CC BY 4.0** — quote a figure, build on it, cite us. No scraping mystery; every number traces to a public source. --- ## 📦 What's inside | Config | Rows | What it is | |---|---:|---| | **`occupation_wages`** | 823 | Annual wage percentiles for U.S. detailed occupations (BLS OEWS, May 2025) | | **`city_burnout_index`** | 50 | A composite burnout score (0–100) for the 50 largest U.S. metros | Both ship as **CSV and JSON**, plus a [Frictionless Data](https://frictionlessdata.io/) `datapackage.json` (typed schemas + licensing). ## 🚀 Quickstart ```python from datasets import load_dataset wages = load_dataset("officeblues/misery-data", "occupation_wages", split="train") burnout = load_dataset("officeblues/misery-data", "city_burnout_index", split="train") print(wages[0]) # {'soc': '15-1252', 'title': 'Software Developers', 'median_usd': 132270, ...} ``` Prefer pandas? ```python import pandas as pd url = "https://huggingface.co/datasets/officeblues/misery-data/resolve/main/data/occupation_wages.csv" df = pd.read_csv(url) df.nlargest(10, "median_usd")[["title", "median_usd"]] ``` --- ## 🗂️ Schema ### `occupation_wages` — U.S. occupation annual wages (n = 823) | field | type | meaning | |---|---|---| | `soc` | string | Standard Occupational Classification (SOC 2018) code | | `title` | string | Occupation title | | `p25_usd` / `median_usd` / `p75_usd` / `p90_usd` | int | Annual wage percentiles, USD | | `source_url` | string | The Office Blues page for this occupation | **Source:** U.S. Bureau of Labor Statistics, [Occupational Employment and Wage Statistics (OEWS)](https://www.bls.gov/oes/), May 2025 release. National figures. ### `city_burnout_index` — City burnout index (n = 50) | field | type | meaning | |---|---|---| | `cbsa_code` | string | Census CBSA code | | `city` / `state` | string | Metro area / state | | `population` | int | Metro population | | `burnout_score` | int | Composite score, 0–100 (higher = worse) | | `rank` / `of_cities` | int | Rank (1 = worst) of 50 | | `source_url` | string | The Office Blues page for this metro | **Methodology:** the burnout score composites public metro-level indicators (pay-to-cost-of-living gap, commute time, unemployment). Full method: **[officeblues.net/methodology](https://officeblues.net/methodology)**. Treat it as an editorial index (v1), not an official statistic. --- ## 📑 Citation **DOI:** [10.5281/zenodo.20534485](https://doi.org/10.5281/zenodo.20534485) — the concept DOI, always resolving to the latest version (archived on [Zenodo](https://zenodo.org/records/20534486)). ```bibtex @misc{officeblues_misery_data, author = {Office Blues}, title = {Misery Data: U.S. occupation wages and a city burnout index}, year = {2026}, publisher = {Office Blues}, doi = {10.5281/zenodo.20534485}, url = {https://officeblues.net}, note = {CC BY 4.0} } ``` ## ℹ️ About Maintained by **Office Blues** — . The methodology and the tools behind these numbers (the Meeting Tax Calculator, the Salary Negotiation Script, the daily pulse) live there. **Aggregates only** — no personal or per-visitor data. This is the canonical mirror of [github.com/officeblues/misery-data](https://github.com/officeblues/misery-data). *Tools, data & receipts for the unhappy employed.*