City Population Annual Timeseries (UN Statistics Division)

core

Files Size Format Created Updated License Source
3 2MB csv zip 7 months ago 3 months ago Open Data Commons Public Domain Dedication and Licence 1.0 UNData: UNSD Demographic Statistics
UNSD Demographic Statistics: City population by sex, city and city type. Data Source: UNData. UNSD Demographic Statistics. Contains two CSV datasets: unsd-citypopulation-year-both.csv. Size: 2.4 MB unsd-citypopulation-year-fm.csv. Size: 3.7 MB Final 222 lines in both datasets contain read more
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Data Files

File Description Size Last changed Download
unsd-citypopulation-year-both 2MB csv (2MB) , json (5MB)
unsd-citypopulation-year-fm 3MB csv (3MB) , json (8MB)
population-city_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 2MB zip (2MB)

unsd-citypopulation-year-both  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Country or Area 1 string
Year 2 string
Area 3 string
Sex 4 string
City 5 string
City type 6 string
Record Type 7 string
Reliability 8 string
Source Year 9 string
Value 10 string
Value Footnotes 11 string

unsd-citypopulation-year-fm  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Country or Area 1 string
Year 2 string
Area 3 string
Sex 4 string
City 5 string
City type 6 string
Record Type 7 string
Reliability 8 string
Source Year 9 string
Value 10 string
Value Footnotes 11 string

Import into your tool

Data-cli or just data is the program to get and post your data with the datahub.
Download CLI tool and use it with the datahub almost like you use git with the github:

data get https://datahub.io/core/population-city
data info core/population-city
tree core/population-city
# Get a list of dataset's resources
curl -L -s https://datahub.io/core/population-city/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/core/population-city/r/0.csv

curl -L https://datahub.io/core/population-city/r/1.csv

curl -L https://datahub.io/core/population-city/r/2.zip

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite", repos="https://cran.rstudio.com/")
library("jsonlite")

json_file <- 'https://datahub.io/core/population-city/datapackage.json'
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# get list of all resources:
print(json_data$resources$name)

# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
  if(json_data$resources$datahub$type[i]=='derived/csv'){
    path_to_file = json_data$resources$path[i]
    data <- read.csv(url(path_to_file))
    print(data)
  }
}

Note: You might need to run the script with root permissions if you are running on Linux machine

Install the Frictionless Data data package library and the pandas itself:

pip install datapackage
pip install pandas

Now you can use the datapackage in the Pandas:

import datapackage
import pandas as pd

data_url = 'https://datahub.io/core/population-city/datapackage.json'

# to load Data Package into storage
package = datapackage.Package(data_url)

# to load only tabular data
resources = package.resources
for resource in resources:
    if resource.tabular:
        data = pd.read_csv(resource.descriptor['path'])
        print (data)

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('https://datahub.io/core/population-city/datapackage.json')

# print list of all resources:
print(package.resource_names)

# print processed tabular data (if exists any)
for resource in package.resources:
    if resource.descriptor['datahub']['type'] == 'derived/csv':
        print(resource.read())

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'https://datahub.io/core/population-city/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
;(async () => {
  const dataset = await Dataset.load(path)
  // get list of all resources:
  for (const id in dataset.resources) {
    console.log(dataset.resources[id]._descriptor.name)
  }
  // get all tabular data(if exists any)
  for (const id in dataset.resources) {
    if (dataset.resources[id]._descriptor.format === "csv") {
      const file = dataset.resources[id]
      // Get a raw stream
      const stream = await file.stream()
      // entire file as a buffer (be careful with large files!)
      const buffer = await file.buffer
      // print data
      stream.pipe(process.stdout)
    }
  }
})()

Read me

UNSD Demographic Statistics: City population by sex, city and city type.

Data

Source: UNData. UNSD Demographic Statistics.

Contains two CSV datasets:

  1. unsd-citypopulation-year-both.csv. Size: 2.4 MB
  2. unsd-citypopulation-year-fm.csv. Size: 3.7 MB

Final 222 lines in both datasets contain original notes.

Updates

Last update in UNdata: 22 Dec 2014

Next update in UNdata: Jun 2015 (est.)

About the United Nations Statistics Division

The United Nations Statistics Division collects, compiles and disseminates official demographic and social statistics on a wide range of topics. Data have been collected since 1948 through a set of questionnaires dispatched annually to over 230 national statistical offices and have been published in the Demographic Yearbook collection. The Demographic Yearbook disseminates statistics on population size and composition, births, deaths, marriage and divorce, as well as respective rates, on an annual basis. The Demographic Yearbook census datasets cover a wide range of additional topics including economic activity, educational attainment, household characteristics, housing characteristics, ethnicity, language, foreign-born and foreign population. The available Population and Housing Censuses’ datasets reported to UNSD for the censuses conducted worldwide since 1995, are now available in UNdata.

Preparation

No special preparation needed.

License

This data package is licensed under a ODC Public Domain Dedication and Licence (PDDL).

Datapackage.json