THE POWER OF DISAGGREGATED DATA TO PROMOTE EQUAL PROPERTY RIGHT AND MONITOR SDGs Kecuk Suhariyanto Chief Statistician, BPS-Statistics Indonesia Word Parliamentary Forum on Sustainable Development Bali, 6-7 September 017 OUTLINE SDGs Indicators: Big Challenges SDGs and Gender-Disaggrated Land Rights Data National Statistical System (NSS) and ONE DATA Portal 1
BIG CHALLENGES Developing of Database Set up more than 41 SDGs Global indicators, included PROXY Indicators (Indonesia) gender, age group, geographic location, income level, disability, migration status, etc. 34 Provinces 514 Districts 3 THE POWER OF DATA DISAGGREGATION Gender Development Index by Province, Indonesia, 015 Sumbar: 94,74 Papua: 78,5 1 Indicator Disaggregation 90-100 85-90 0-85 1 4 70-80 60-70 50-60 40-50 Gender Empowerment Index by Province, Indonesia, 015 North Sulawesi : 79,8 West Papua: 48,19 4
BPS EFFORTS TO COLLECT SDGs DATA BY GENDER BPS has collected gender disaggregated data for a number of SDGs Goals through: National Socio-Economic Survey National Labor Force Survey Micro and Small Manufacturing Industry Survey Indonesia Demographic and Health Survey Population Census Agricultural Census Special publications with respect to gender issues (e.g.: violence to women) BUT Information on LAND RIGHT and gender disaggregation of LAND OWNERSHIP is limited SDGs GOALS AND TARGETS WITH LAND IMPLICATION Explicit Statement about Land Rights Goal 1. End poverty in all its forms everywhere Target 1.4. By 030, ensure that all men and women,... have equal rights to..., ownership and control over land and other forms of property,... Goal. End hunger, achieve food security and improved nutrition and promote sustainable agriculture Target.3. By 030, double the agricultural productivity and incomes of small-scale food producers, in particular women... including through secure and equal access to land,... Goal 5. Achieve gender equality and empower all women and girls Target 5a. Undertake reforms to give women equal rights to... access to ownership and control over land..., in accordance with national laws Other SDGs Targets that have implicit implication for land rights: Target 10., Target 10.3, Target 11.3, Target 15.1 and Target 15. 6 3
DATA ON LAND RIGHTS (1) Current states: Data related to land ownership by gender is a part of data to be developed (refer to SDGs Documents published by National SDGs Secretariat) Data on land and property ownership disaggregated by gender is partly available There are several data sources can be used to support information about land and property ownership available in BPS and probably administrative records available in National Land Affairs Agency Type of surveys/censuses and Information collected: Indonesia Health and Demographic Survey (IDHS) - IDHS conducted every five years last IDHS conducted in 01, and in 017 IDHS is currently the stage of field data collection - IDHS data provides information on land and home ownership by gender Agriculture Census - Agricultural Census is conducted every 10 years the last census was conducted in 013 - Agriculture Census reports information on agriculture land ownership disaggregated by gender 7 DATA ON LAND RIGHTS () Other Sources of Information on Land Rights Administrative records: National Land Affairs Agency - Data on land right compiled in this administrative record may cover only registered land - Gender disaggregation could be produced - Data can be generated annually The current effort of Indonesian Government to ensure the land rights for the people is to conduct the acceleration program on land certification as well as the program of Hutan Sosial (Forest management for community welfare especially for those living in around forest) 8 4
LAND OWNERSHIP Percentage of women age 15-49 by type of land ownership, 01 Type of ownership Urban Rural Urban+Rural Self-ownership 11.4 13.6 1.5 Join ownership 1.3 31.6 6. Self and join ownership.3.8.5 Having no land 65.0 5.0 56.6 Source: Indonesia Demographic and Health Survey (IDHS), 01 9 LAND HOLDING AND LAND OWNERSHIP Percentage of agriculture households by area of land holding and sex of household head, Indonesia, 013 80,0 70,0 60,0 50,0 40,0 30,0 0,0 10,0-66,9 Male headed household 5,9 Female headed household 17,9 15,5 15, 10,9 7,0 4,0 6,7 3,0 <0.5 (Landless) 0.50-0.99 1.0-1.99.00 -.99 >=3.00 Hectare Percentage of agriculture households, by area of land ownership and sex of household head, Indonesia, 013 80,0 69,0 70,0 60,6 Male headed household 60,0 50,0 Female headed household 40,0 30,0 14, 0,0 13,7 1,9 10,3 6,1 10,0 4,0 6,1 3,0 - <0.5 (Landless) 0.50-0.99 1.0-1.99.00 -.99 >=3.00 Source: Agriculture Census 013 Hectare 5
How can NSO Support for Gender Disaggregated Land Rights Data? Land ownership is basically a part of sectoral data that should be compiled by relevant institution/ministry BPS-Statistics Indonesia could build cooperation with related ministries/ institutions to produce data on land ownership disaggregated by gender BPS-Statistics Indonesia could support for the development of a new survey organized by relevant ministry/institution (i.e. BPS can support the survey methodology and survey instrument development) It is also possible for BPS-Statistics Indonesia to review the current survey instruments to accommodate question on land ownership by gender 11 Integrating Data Sources within National Statistical System Law No. 16/1997 on Statistics Basic statistics BPS-Statistics Indonesia Sectoral statistics Ministry/gov t institutions Special Statistics Community/ Private Institutions 1 6
ONE DATA OPEN DATA Gov. Institutions Ministry 1 BPS-Statistics Indonesia Research Institutions, Private Companies, Intl Organization, etc. Ministry Institution 1 Ministry 3 Instituion Ministry 4 Ministry 5 Other Depts. 13 THANK YOU 7