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Datasets:
officeblues
/
misery-data

Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
labor-statistics
wages
bls-oews
burnout
open-data
united-states
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
misery-data
File size: 2,955 Bytes
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{
  "name": "office-blues-misery-data",
  "title": "Office Blues — Misery Data",
  "description": "Open data on the cost of work: U.S. occupation wages (BLS OEWS) and a city burnout index. Maintained by Office Blues (officeblues.net).",
  "homepage": "https://officeblues.net",
  "licenses": [
    {
      "name": "CC-BY-4.0",
      "title": "Creative Commons Attribution 4.0",
      "path": "https://creativecommons.org/licenses/by/4.0/"
    }
  ],
  "resources": [
    {
      "name": "occupation_wages",
      "path": "data/occupation_wages.csv",
      "format": "csv",
      "mediatype": "text/csv",
      "title": "U.S. occupation annual wages (n=823)",
      "schema": {
        "fields": [
          {
            "name": "soc",
            "type": "string",
            "title": "SOC 2018 code"
          },
          {
            "name": "title",
            "type": "string",
            "title": "Occupation title"
          },
          {
            "name": "p25_usd",
            "type": "integer",
            "title": "25th-percentile annual wage (USD)"
          },
          {
            "name": "median_usd",
            "type": "integer",
            "title": "Median annual wage (USD)"
          },
          {
            "name": "p75_usd",
            "type": "integer",
            "title": "75th-percentile annual wage (USD)"
          },
          {
            "name": "p90_usd",
            "type": "integer",
            "title": "90th-percentile annual wage (USD)"
          },
          {
            "name": "source_url",
            "type": "string",
            "title": "Office Blues page URL"
          }
        ]
      }
    },
    {
      "name": "city_burnout_index",
      "path": "data/city_burnout_index.csv",
      "format": "csv",
      "mediatype": "text/csv",
      "title": "City burnout index (n=50)",
      "schema": {
        "fields": [
          {
            "name": "cbsa_code",
            "type": "string",
            "title": "Census CBSA code"
          },
          {
            "name": "city",
            "type": "string",
            "title": "Metro area"
          },
          {
            "name": "state",
            "type": "string",
            "title": "State"
          },
          {
            "name": "population",
            "type": "integer",
            "title": "Metro population"
          },
          {
            "name": "burnout_score",
            "type": "integer",
            "title": "Burnout score (0–100, higher = worse)"
          },
          {
            "name": "rank",
            "type": "integer",
            "title": "Rank (1 = worst)"
          },
          {
            "name": "of_cities",
            "type": "integer",
            "title": "Total cities ranked"
          },
          {
            "name": "source_url",
            "type": "string",
            "title": "Office Blues page URL"
          }
        ]
      }
    }
  ]
}