Welfare Statistics Sumatera Barat Province 2015

Butuh data resmi Sumatera Barat yang valid dan langsung siap pakai? kunjungi RANDAI (Ringkasan Indikator Strategis), akses indikator penting dan strategis daerah terangkum praktis dalam satu portal

Help us get better by completing this Data Needs Survey via the following link: https://skd.bps.go.id/skd/s/1300. Give your assessment of the services we have provided both online and coming directly to the Integrated Statistical Service (PST) of BPS-Statistic Sumatera Barat Province.

Pelayanan Statistik Terpadu (PST) BPS Provinsi Sumatera Barat secara online dapat diakses melalui pst.bps.go.id. Silahkan kunjungi sumbar.bps.go.id untuk mengunduh publikasi dan layanan live chat; silastik.bps.go.id untuk konsultasi online; [email protected] untuk permintaan data melalui e-mail; romantik.bps.go.id untuk permintaan rekomendasi statistik; dan reservasilayanan-diluarjamkerja untuk reservasi layanan diluar jam dan hari kerja

Untuk mendapatkan data BPS silahkan datang ke Pelayanan Statistik Terpadu (PST) BPS Provinsi Sumatera Barat Jl. Khatib Sulaiman No.48 Padang, di Lantai 1 setiap hari kerja (Senin-Kamis) pukul 08.00 s.d 15.30 WIB dan Jum'at pukul 08.00 s.d 16.00 WIB

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Welfare Statistics Sumatera Barat Province 2015

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Catalog Number	:	4101002.13
Publication Number	:	13520.1604
ISSN/ISBN	:
Publishing Frequency	:	Annually
Release Date	:	May 31, 2016
Language	:	Indonesian and English
File Size	:	4.61 MB

Abstract

The National Socio-Economic Survey (Susenas) is designed to provide socio-economic data including education, health, housing, crime, domestic travel, and social protection. Starting in 2015, the Susenas data collection held twice a Years i.e. March and September. The publication of the 2015 Welfare Statistics Sumatera Barat Province contains a tabular results of the data collected through the 2015 Susenas core questionnaire (VSEN2015.K) which coverage the entire regions of Indonesia. The core data presented in this publication expressed in terms of percentages of population which are disaggregated by district/municipality and urban-rural classifications so that the users could compare people¬žs welfare among regions. Several tables in the overview of the results are also disaggregated by sex to fulfill the needs of analysis on gender gaps.

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