Identification

Title

Community Demographic Model International Migration (CDM-IM) Dataset : Generating Age and Gender Profiles of International Migration Flows

Abstract

The demographic features of a growing number of international migrants increasingly impacts socioeconomic development in various countries of the world. However, information on international migrant’s demographic characteristics is sparse. To develop the multiregional population/urbanization projections module of the NCAR Community Demographic Model (CDM) requires information on the age and gender composition of international migration streams. This paper reports on the methods used to generate the CDM International Migration dataset, which contains information on the age and gender profiles of international migrants with approximate global coverage. We use the raw data from the United Nations Global Migration Database (UNGMD) to derive the highest quality migrant stock for two time points closest to the year 2000. We reallocate the migrants into standardized age and gender categories by using information directly from the selected file, by borrowing information from files of other years, and by applying aggregated region-level information. After accounting for the impacts of mortality and fertility, we derive the age and gender profiles of net migrant flows between the two time points for each migration stream. The newly generated dataset contains age and gender profiles of international migrants for 3,713 country-level migration streams. Validation analyses against existing data sources and against the geographical, historical, and political context demonstrate reasonably high data quality. This data set not only meets our requirement for population projections, but can also be used for the study of international migration behavior among subgroups of various socioeconomic and environmental backgrounds.

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d7mg7nzm

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Keyword set

keyword value

EARTH SCIENCE > CLIMATE INDICATORS > BIOSPHERIC INDICATORS > SPECIES MIGRATION

EARTH SCIENCE > HUMAN DIMENSIONS > POPULATION

EARTH SCIENCE SERVICES > MODELS > SOCIAL AND ECONOMIC MODELS

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2021-09-17

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2014-04-01T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Copyright Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata date

2023-08-18T18:06:31.047948

Metadata language

eng; USA