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0xnu merged 1 commit into from
Aug 9, 2025
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misc(feat): eu_noneu #4

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3 changes: 3 additions & 0 deletions CHANGELOG.md
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# Changelog

## v0.0.2 - 2025-08-09 - @0xnu
* EU and Non-EU Migration Analysis

## v0.0.1 - 2025-08-01 - @0xnu
* England Population Analysis
* Initial Commit
17 changes: 15 additions & 2 deletions README.md
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Expand Up @@ -18,7 +18,7 @@ uv pip install -r requirements.txt
python3 -m pip install --upgrade pip
```

### Data Requirements
### Data Requirements (England Population)

The analysis needs a CSV file with these columns:

Expand All @@ -27,9 +27,22 @@ The analysis needs a CSV file with these columns:

The data (Population estimates for England and Wales: mid-2024) is from [Office for National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/bulletins/populationestimatesforenglandandwales/mid2024).

### Data Requirements (EU and Non-EU Migration)

The dataset contains quarterly migration data from June 2012 to December 2024, tracking:

- Period: Quarterly period (e.g., YE Jun 12 to YE Dec 24 P)
- Non-EU+ migration: Number of migrants from non-EU countries (e.g., 57,000 in YE Jun 12 to 544,000 in YE Dec 24 P)
- EU+ migration: Number of migrants from EU countries (e.g., 187,000 in YE Jun 12 to -96,000 in YE Dec 24 P)
- British migration: Number of migrants from the UK (e.g., -83,000 in YE Jun 12 to -17,000 in YE Dec 24 P)
- Total migration: Total number of migrants (e.g., 162,000 in YE Jun 12 to 431,000 in YE Dec 24 P)

The data (Net migration by EU+, non-EU+ and British nationality) is from [Office for National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/internationalmigration/bulletins/longterminternationalmigrationprovisional/yearendingdecember2024#long-term-net-migration).

### Run the Analysis

Click the `Run` button to run the individual cell of the [Jupyter Notebook](./england_population_change.ipynb).
+ Click the `Run` button to run the individual cell of the [England Population - Jupyter Notebook](./england_population_change.ipynb).
+ Click the `Run` button to run the individual cell of the [EU and Non-EU Migration - Jupyter Notebook](./england_eu_noneu.ipynb).

### License

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52 changes: 52 additions & 0 deletions data/eu_noneu.csv
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"Period", "Non-EU+", "EU+", "British", "Total"
"YE Jun 12", "57,000", "187,000", "-83,000", "162,000"
"YE Sep 12", "54,000", "183,000", "-80,000", "157,000"
"YE Dec 12", "61,000", "206,000", "-72,000", "195,000"
"YE Mar 13", "60,000", "223,000", "-79,000", "204,000"
"YE Jun 13", "56,000", "242,000", "-83,000", "215,000"
"YE Sep 13", "64,000", "275,000", "-80,000", "259,000"
"YE Dec 13", "63,000", "262,000", "-81,000", "244,000"
"YE Mar 14", "67,000", "263,000", "-74,000", "256,000"
"YE Jun 14", "65,000", "258,000", "-75,000", "248,000"
"YE Sep 14", "73,000", "270,000", "-79,000", "264,000"
"YE Dec 14", "87,000", "277,000", "-80,000", "284,000"
"YE Mar 15", "94,000", "275,000", "-73,000", "296,000"
"YE Jun 15", "101,000", "267,000", "-72,000", "296,000"
"YE Sep 15", "103,000", "262,000", "-72,000", "293,000"
"YE Dec 15", "88,000", "287,000", "-73,000", "303,000"
"YE Mar 16", "80,000", "294,000", "-77,000", "298,000"
"YE Jun 16", "82,000", "322,000", "-83,000", "321,000"
"YE Sep 16", "83,000", "294,000", "-87,000", "290,000"
"YE Dec 16", "90,000", "253,000", "-94,000", "249,000"
"YE Mar 17", "97,000", "235,000", "-91,000", "240,000"
"YE Jun 17", "91,000", "188,000", "-79,000", "200,000"
"YE Sep 17", "98,000", "192,000", "-85,000", "205,000"
"YE Dec 17", "114,000", "176,000", "-81,000", "208,000"
"YE Mar 18", "122,000", "160,000", "-89,000", "193,000"
"YE Jun 18", "143,000", "158,000", "-84,000", "216,000"
"YE Sep 18", "155,000", "138,000", "-67,000", "226,000"
"YE Dec 18", "178,000", "170,000", "-72,000", "276,000"
"YE Mar 19", "190,000", "155,000", "-72,000", "274,000"
"YE Jun 19", "179,000", "126,000", "-82,000", "224,000"
"YE Sep 19", "171,000", "114,000", "-83,000", "202,000"
"YE Dec 19", "186,000", "80,000", "-82,000", "184,000"
"YE Mar 20", "166,000", "81,000", "-77,000", "170,000"
"YE Jun 20", "115,000", "70,000", "-74,000", "111,000"
"YE Sep 20", "60,000", "45,000", "-70,000", "35,000"
"YE Dec 20", "101,000", "70,000", "-78,000", "93,000"
"YE Mar 21", "150,000", "61,000", "-79,000", "132,000"
"YE Jun 21", "251,000", "75,000", "-73,000", "254,000"
"YE Sep 21", "441,000", "12,000", "14,000", "467,000"
"YE Dec 21", "529,000", "-77,000", "32,000", "484,000"
"YE Mar 22", "640,000", "-122,000", "29,000", "548,000"
"YE Jun 22", "754,000", "-140,000", "20,000", "634,000"
"YE Sep 22", "902,000", "-119,000", "6,000", "789,000"
"YE Dec 22", "965,000", "-88,000", "-4,000", "873,000"
"YE Mar 23", "957,000", "-54,000", "-9,000", "894,000"
"YE Jun 23", "954,000", "-38,000", "-10,000", "906,000"
"YE Sep 23", "957,000", "-54,000", "-31,000", "872,000"
"YE Dec 23 R", "952,000", "-55,000", "-37,000", "860,000"
"YE Mar 24 P R", "927,000", "-85,000", "-17,000", "825,000"
"YE Jun 24 P R", "856,000", "-95,000", "-21,000", "739,000"
"YE Sep 24 P", "709,000", "-86,000", "-21,000", "601,000"
"YE Dec 24 P", "544,000", "-96,000", "-17,000", "431,000"
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