Nurses and midwifes per 10,000 population

Key: who_nursmidwdens | Secondary data | Category: Health

Nurses and midwifes density (per 10,000 population), including nursing personnel and midwifery personnel in the given national and/or subnational area. Depending on the nature of the original data source, the data may include practising (active) nursing and midwifery personnel only or all registered nursing and midwifery personnel The ISCO -08 codes included here are 2221, 2222, 3221, 3222.

Data Layer information

Source file is available (Show file)

import pandas as pd

from shapes.models import Shape
from datalayers.datasources.base_layer import BaseLayer


class WhoNursmidwdens(BaseLayer):
    def __init__(self) -> None:
        super().__init__()

    def download(self):
        pass

    def process(self, shapes=None):
        if shapes is None:
            shapes = Shape.objects.all()

        df = pd.read_csv(self.get_data_path() / "GHA_who_nursmidwdens.csv")

        for shape in shapes:
            pcode = shape.get_property("pcode")
            dfx = df[df["ADMIN0"] == pcode]

            for _, row in dfx.iterrows():
                self.add_value(shape, row["year"], row[self.key])

Data is available locally

Data is loaded into the database

Log | Files

Operation	--
Database unit	individuals / 10.000 population
Value type	`value`
Temporal resolution	`year`

Data availability per spatial unit within the integrated time period
Shape type	First	Last	Availability
Country			68.42 %
Total	2004	2022	0.25 %

Nurses and midwifes per 10,000 population

Data Layer information

Analytical overview

Source information

Nurses and midwifes per 10,000 population

Data Layer information

src/datalayer/who_nursmidwdens.py

Analytical overview

Source information