| --- |
| 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 |
| --- |
| |
|  |
|
|
| # Misery Data — the cost of work, in numbers |
|
|
| [](https://doi.org/10.5281/zenodo.20534485) |
| [](https://creativecommons.org/licenses/by/4.0/) |
| [](https://officeblues.net) |
| [](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** — <https://officeblues.net>. 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.* |
|
|
