🇸🇪 Swedish PII Detection

Detects Personal Identifiable Information (PII) in Swedish text

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📦 Current Version

🔍 What Can Be Detected?

💳 Financial

• American Express credit card numbers
• Mastercard credit card numbers
• Visa credit card numbers
• Swedish IBAN codes
• Swedish BIC codes
• Swedish bank account numbers

🆔 Identification Numbers

• Swedish personal identity numbers (male)
• Swedish personal identity numbers (female)
• Swedish coordination numbers (male)
• Swedish coordination numbers (female)

📞 Contact

• Email addresses
• Phone numbers
• Social media information

📍 Location

• Swedish street addresses
• Swedish postal codes
• Swedish municipalities
• Swedish counties

🏢 Work / Education

• Swedish work organizations
• Swedish education organizations
• Swedish education programs
• Swedish work professions
• Swedish organization numbers

🔒 Sensitive Attributes

• Marital status information
• Genetic sex information
• Disability information
• Religion information
• Sexual orientation information
• Demographic information
• Political ideologies information

🧩 Misc

• Swedish license plate information
• IP addresses
• MAC addresses
• Date information
• Time information

👤 Names

• Top 20,524 male first names with at least 10 bearers in Sweden 1999-2020
• Top 23,347 female first names with at least 10 bearers in Sweden 1999-2020
• Top 107,762 last names with at least 10 bearers in Sweden 1999-2020

🛣️ Roadmap

• Patterns for:
  • Passport numbers
  • Residence Permit Number?
  • Bank Account Number (Bankgiro/Plusgiro)
• Set lookups for:
  • Localities 🏘️
  • Cities 🏙️
  • Labor Unions (LABOR_UNION) https://webperf.se/category/fackforeningar/ 💪
• Reduce false positives
• Improve performance & simplify
• Comprehensive tests
• Make it to a npm package (library)
• Make a documentation page (frontend)

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📚 Dataset Sources

• Names:

  • SCB 2020 First names: https://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__BE__BE0001__BE0001G/BE0001FNamn10/
  • SCB 2020 Last names: https://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__BE__BE0001__BE0001G/BE0001ENamn10/
  • Skatteverket newborn names (you can write "*" to select all): https://www6.skatteverket.se/sense/app/c13f8ffe-f90d-4c38-b426-646ee1226b75/sheet/50b8c57d-23f9-4f74-bd6f-7a18d8096226/state/analysis
  • Skatteverket popular surnames: https://skatteverket.se/privat/folkbokforing/namn/bytaefternamn/sokblanddevanligasteefternamnen.4.515a6be615c637b9aa48e09.html

• Education Programs:

  • https://github.com/swedishdata/education-work-social/blob/master/scb-sun-2000.csv

• Professions:

  • https://github.com/swedishdata/education-work-social/blob/master/arbetsformedlingen-job-titles.csv

• Marital Status:

  • https://github.com/swedishdata/education-work-social/blob/master/scb-family-marital-status-and-consensual-union-terms.csv

• Sexual Orientation:

  • https://glaad.org/reference/terms

• Addresses:

  • Street & Postal (partial):
    https://github.com/beshrkayali/sverige_postnummer

• Most up-to-date addresses:

  • https://www.postnummerservice.se/
  • https://www.postnord.se/en/our-tools/search-postcode-and-address/
  • https://download.geofabrik.de/europe/sweden.html

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🗺️ Extracting Data from OpenStreetMap via Osmium

🛠️ Install Tools via Homebrew

brew install osmium-tool
brew install jq

🏞️ Extract Counties

osmium tags-filter sweden-latest.osm.pbf "nwr/admin_level=4" -o counties.osm.pbf && \
osmium export counties.osm.pbf -o counties.geojson && \
jq -r '
  [
    .features[]
    | select(
        .properties.admin_level == "4"
        and .properties.name != null
        and (.properties.name | test("län$"))
      )
    | .properties.name
  ]
  | sort
  | unique
' counties.geojson > counties.json && \
rm counties.osm.pbf counties.geojson

🏙️ Extract Cities

osmium tags-filter sweden-latest.osm.pbf "nwr/place=city" -o cities.osm.pbf && \
osmium export cities.osm.pbf -o cities.geojson && \
jq -r '
  [
    .features[]
    | select(
        .properties.name != null
        and (.properties.name | test("^[0-9]+$") | not)
        and (.properties.name | test("vägen$|kommun$") | not)
      )
    | .properties.name
  ]
  | sort
  | unique
' cities.geojson > cities.json && \
rm cities.osm.pbf cities.geojson

🏛️ Extract Municipalities

osmium tags-filter sweden-latest.osm.pbf nwr/boundary=administrative -o municipalities.osm.pbf && \
osmium export municipalities.osm.pbf -o municipalities.geojson && \
jq -r '
  .features
  | map(select(.properties.admin_level == "7" and .properties.name != null and .properties.name != "Svartån"))
  | map(.properties.name)
  | map(if endswith(" kommun") or . == "Göteborgs Stad" then . else . + " kommun" end)
  | sort
  | unique
' municipalities.geojson > municipalities.json && \
rm municipalities.osm.pbf municipalities.geojson

🏘️ Extract Suburbs & Neighborhoods

osmium tags-filter sweden-latest.osm.pbf "nwr/place=suburb" -o suburbs.osm.pbf && \
osmium tags-filter sweden-latest.osm.pbf "nwr/place=neighborhood" -o neighborhoods.osm.pbf && \
osmium tags-filter sweden-latest.osm.pbf "nwr/place=town" -o towns.osm.pbf && \
osmium merge suburbs.osm.pbf neighborhoods.osm.pbf towns.osm.pbf -o areas.osm.pbf && \
osmium export areas.osm.pbf -o areas.geojson && \
jq -r '
  [
    .features[]
    | select(
        .properties.name != null
        and (.properties.name | test("^[0-9]+$") | not)
      )
    | .properties.name
  ]
  | sort
  | unique
' areas.geojson > areas.json && \
rm suburbs.osm.pbf neighborhoods.osm.pbf towns.osm.pbf areas.osm.pbf areas.geojson

🚦 Extract Streets & Postalcodes

osmium tags-filter sweden-latest.osm.pbf 'addr:street=*' 'addr:postcode=*' -o addresses.osm.pbf && \
osmium export addresses.osm.pbf -o addresses.geojson && \
jq -r '
  .features
  | map(
      select(
        (.properties["addr:street"] != null) and
        (.properties["addr:postcode"] != null) and
        (.properties["addr:street"] | test("^[0-9]+$") | not)
      )
    )
  | map({
      street: .properties["addr:street"],
      postcode: (
        .properties["addr:postcode"]
        | gsub(" "; "")
        | if test("^[0-9]{5}$") then .[:3] + " " + .[3:] else . end
      ),
      housenumber: (
        (.properties["addr:housenumber"] // "") 
        | split(",")
        | map(gsub("^ +| +$"; ""))
      )
    })
  | group_by(.street)
  | map(
      {
        street: .[0].street,
        postalcodes: (map(.postcode) | unique),
        housenumbers: (map(.housenumber) | add | unique)
      }
    )
  | sort_by(.street)
' addresses.geojson > streets_postalcodes.json && \
rm addresses.osm.pbf addresses.geojson

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🧪 RegEx Ideas

• All allowed characters in names: https://skatteverket.se/privat/folkbokforing/namn.4.18e1b10334ebe8bc80004083.html#Accordionrubrik