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minor formatting edits (#21)
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SahitiSarva authored Feb 20, 2024
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31 changes: 25 additions & 6 deletions notebooks/relative-wealth/relative-wealth-index.ipynb
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"metadata": {},
"source": [
" # Demographics of Myanmar\n",
"\n",
" ## Assignment\n",
"\n",
" \n",
"To overcome gaps in official demographic statistics, the team has turned to private sector data sources. The Data Lab used algorithmically generated data such as that released by [Meta](https://dataforgood.facebook.com/dfg/docs/methodology-high-resolution-population-density-maps). \n",
"\n",
"Additionally, the team also extracted the [Relative Wealth Index](https://dataforgood.facebook.com/dfg/tools/relative-wealth-index) data from Meta which helps identify differences in standard of living in the population. \n",
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"The data extracted from Meta was then aggregated to different admin levels using the shapefiles available on [Myanmar information Management Unit](https://themimu.info/news/updated-shapefiles). These datasets are made available on [SharePoint](https://worldbankgroup.sharepoint.com.mcas.ms/teams/DevelopmentDataPartnershipCommunity-WBGroup/Shared%20Documents/Forms/AllItems.aspx?csf=1&web=1&e=Yvwh8r&cid=fccdf23e%2D94d5%2D48bf%2Db75d%2D0af291138bde&FolderCTID=0x012000CFAB9FF0F938A64EBB297E7E16BDFCFD&id=%2Fteams%2FDevelopmentDataPartnershipCommunity%2DWBGroup%2FShared%20Documents%2FProjects%2FData%20Lab%2FMyanmar%20Economic%20Monitor%2FData&viewid=80cdadb3%2D8bb3%2D47ae%2D8b18%2Dc1dd89c373c5). "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Findings"
]
},
{
"cell_type": "code",
"execution_count": 9,
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"hrsl_adm3.to_file('../../data/population/myanmar_adm3_hrsl.shp', format = 'ESRI Shapefile')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Popultion Estimates"
]
},
{
"cell_type": "code",
"execution_count": 88,
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Observations and Limitations\n",
"#### Observations and Limitations\n",
"\n",
"* The data is from 2019. Myanmar has seen a lot of conflict and political unrest, aside from a pandemic since then. The numbers shown here do not reflect any of the recent changes in population movement. \n",
"* The regions close to the Bangladesh border (Cox's Bazar) and the regions close to the Chinese border are less populated compared to regions close to the Thailand border.\n",
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"lowest_rwi = myanmar_rwi_adm3.sort_values(by='rwi', ascending = True).iloc[0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Relative Wealth Distribution"
]
},
{
"cell_type": "code",
"execution_count": 86,
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Observations and Limitations\n",
"#### Observations and Limitations\n",
"\n",
"* The algorithm Meta used uses input data collected before [2018](https://www.pnas.org/doi/10.1073/pnas.2113658119). This means that any recent changes in wealth are not reflected in the figures.\n",
"* The most populous district (Bago) is not the richest one. The SEZ Yangon (West) is wealthier. "
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Comparing Relative Wealth in the Twonships in Bago District and Yangon (West)"
"### Comparing Relative Wealth in the Townships in Bago District and Yangon (West)"
]
},
{
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