Population count

Key: worldpop_popc | Secondary data | Category: Demographic

Sources of Data Layer:

Global 100m Population total adjusted to match the corresponding UNPD estimate

Data Layer information

Source file is available (Show file)

import re
import os
import numpy as np

from datalayers.datasources.tiff_layer import TiffLayer
from datalayers.datasources.base_layer import BaseLayer, LayerValueType


class WorldpopPopc(TiffLayer):
    def __init__(self):
        super().__init__()
        self.value_type = LayerValueType.FLOAT

        self.precision = 0
        self.format_suffix = "entities"

    def download(self):
        for year in range(2010, 2020 + 1):
            url = f"https://data.worldpop.org/GIS/Population/Global_2000_2020/{year}/GHA/gha_ppp_{year}_UNadj.tif"
            self._save_url_to_file(url)

    def consume(self, file, band, shape):
        x = re.search(r"[0-9]+", os.path.basename(file))
        year = int(x[0])

        self.add_value(shape, year, np.nansum(band))

Data is available locally

Data is loaded into the database

Log | Files

Operation	Count
Database unit	Population count per area
Value type	`float`
Temporal resolution	`year`

Data availability per spatial unit within the integrated time period
Shape type	First	Last	Availability
Country			100.00 %
Region			100.00 %
District			100.00 %
Total	2010	2020	100.00 %

Analytical overview

Source information

[1 of 1] Global 100m Population total adjusted to match the corresponding UNPD estimate

Data

DOI10.5258/SOTON/WP00660

Source: WorldPop

No description provided.

Citation

This source is included in the Data Layer citation.

Information	Description
Format	image/tiff
Format unit	Population count per cell
Projection	EPSG:4326
Spatial resolution	100.00 meters × 100.00 meters
Spatial coverage	GHA
Temporal resolution	annually
Temporal coverage	2020
Language	eng
License	CC-BY-4.0
Date published
Date last accessed	2025-02-24

DataCite information

Authors (1)

WorldPop