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STATISTICS INDONESIA
ENHANCING THE PRODUCTION, DISSEMINATION,
AND USE OF MIGRATION STATISTICS:
THE CASE OF INDONESIA
KECUK SUHARIYANTO
EDI SETIAWAN
NASHRUL WAJDI BPS-STATISTICS INDONESIA
SEVENTH SESSION OF OIC-STATCOM, 2-3 MAY, ANKARA - TURKEY
1
STATISTICS INDONESIA
OUTLINE
Background
Migration Statistics in Indonesia
Dissemination of Population and Labour Mobility Statistics
Innovations
Challenges
STATISTICS INDONESIA
Background
1
TOTAL POPULATION : 262 MILLION
Population Density: 137 Population per km2
Population Density of
West Papua :
9 pop per km2
Population distribution
22 % of territory
1.5% of Total Population
Condition in 2017
BACKGROUND (1)
4
Population distribution
6,8 % of territory
56,6% of Total Population
Population Density of
Jakarta:
15.624 pop per km2
Migration is becoming an increasingly significant issue for a number of reasons1 :
1. The rate of natural increase of populations is slowing down.
2. Both the scope and the magnitude of urbanization is increasing.
3. The policy issues related to migration in developing countries are attracting
increasing attention.
4. The trend towards population deconcentration in the form of metropolitan-to-non-
metropolitan migration is accelerating, particularly in the developed countries.
1De Jong, G.F., & Gardner, R.W. (1981). Migration decision making: Multidisciplinary approaches to microlevel studies
in developed and developing countries. New York: Pergamon Press.
BACKGROUND (2)
5
STATISTICS INDONESIA
Migration Statistics in Indonesia
2
2000: PC2000 2005: IPS2005 2010: PC2010 2014: MPS2014 2015: IPS2015 2018: MPS2018* 2020: PC2020
Indicators produced:
1. Lifetime migration
2. Recent migration
Indicators produced:
1. Lifetime
migration
2. Recent migration
Indicators produced:
1. Lifetime migration
2. Recent migration
3. Total migration
4. Migrant’s characteristics
5. Socio-economic condition of migrants
6. Commuting Migration
7. Seasonal Circular Migration
8. Return Migration
9. International Migration
Indicators produced:
1. Lifetime migration
2. Recent migration
3. Total migration
4. Migrant’s characteristics
5. Socio-economic condition of migrants
6. Commuting Migration
7. Seasonal Circular Migration
8. Return Migration
9. International Migration
Indicators produced:
1. Lifetime migration
2. Recent migration
3. Total migration
4. Reason for migration
Indicators produced:
1. Lifetime migration
2. Recent migration
3. Total migration
4. Migrant’s characteristics
5. Socio-economic condition of
migrants
6. etc
Indicators produced:
1. Lifetime migration
2. Recent migration
3. Total migration
4. International Migration
5. Migrant’s characteristics
6. Socio-economic condition of
migrants
7. etc
*UN’s Recommendations: Handbook on Measuring International Migration through Population Censuses (UN-Ecosoc, 2017)
MIGRATION STATISTICS IN INDONESIA (1)
7
74 90
153
284
366
183 152
118 97 93 78
51
0
100
200
300
400
500
2010 2011 2012 2013 2014 2015
Ex-HH Member HH Member
8
MIGRATION STATISTICS IN INDONESIA (2)
Thousands
International Out-
Migration
(Household Survey
Approach)
Data source : Intercensal Population Survey (IPS), 2015
MIGRATION STATISTICS IN INDONESIA (3)
International Migration: Out-migration (Ex-HH member)
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Percentage of Out Migration (Ex Household Member) by Region
Europe
1,4%
America
1,1%
Asia
96,2%
Australia
0,8%
Africa
0,5%
MIGRATION STATISTICS IN INDONESIA (4)
International Migration: Out-migration (HH member)
10
Percentage of Out Migration (Household Member) by Region
Europe
2,1%
America
1,4%
Asia
93,7%
Australia
2,2%
Africa
0,6%
STATISTICS INDONESIA
Dissemination of Population
and Labour Mobility Statistics
3
DISSEMINATION AND OTHER PRODUCTS (1)
12
Bandung
City
Bandung Regency
Sumedang
Regency
Bandung Barat
Regency
Cimahi
City
DISSEMINATION AND OTHER PRODUCTS (2)
13
The Commuting
Pattern of
Bandung Raya
Metropolitan Area
Bandung City (The Capital City of West Java) is the primary destination for the commuter
Source: Commuter Survey 2017
The Comparison of Commuting Pattern Between
Conventional Commuter Survey Data and Twitter Data
DISSEMINATION AND OTHER PRODUCTS (3)
14
Source: Commuter Survey (2014) and Twitter Data (2014)
Limitations
1. Limited
segmentation
2. Privacy issues
STATISTICS INDONESIA
Innovations
4
STATISTICS INDONESIA
INNOVATIONS
3 Quick Facts of Mobile Positioning Data (MPD)
± 350M active mobile phone
number
16
real time All numbers have to register based on
Single Identification Number as in the personal ID Card
STATISTICS INDONESIA
Challenges
5
STATISTICS INDONESIA
1. Measuring non-voluntary migration
2. Measuring international in-migration
3. Adjustment of the 6-Month Enumeration Base To 12 - Month Enumeration Base on defining population
CHALLENGES
18
STATISTICS INDONESIA
www.bps.go.id THANK YOU
Jl. Dr. Sutomo 6-8 Jakarta 10710
(021) 3841195, 3842508, 3810291 Badan Pusat Statistik (Page)
@bps_statistics
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