No. Provinces Regional Income Locally-Generated Percentage Revenue of Locally- 25 Sulawesi Tengah IDR 4.146.970.203.091,00 Generated IDR 1.102.852.985.718,00 Revenue 26 Sulawesi Selatan IDR 10.780.830.352.338,00 IDR 4.872.694.076.981,00 IDR 1.156.648.858.419,00 27% 27 Sulawesi Tenggara IDR 4.158.361.809.779,00 IDR 3.176.436.045.037,00 45% IDR 1.954.341.221.233,00 28% 28 Bali IDR 6.035.277.798.137,00 IDR 2.033.518.433.142,00 53% IDR 533.392.345.865,00 36% 29 Nusa Tenggara Barat IDR 5.473.931.855.427,00 IDR 563.920.161.754,00 32% IDR 1.765.651.609.757,00 16% 30 Nusa Tenggara Timur IDR 6.283.641.817.542,00 IDR 412.577.256.373,00 20% IDR 178.312.607.351.211 12% 31 Maluku IDR 3.328.147.510.231,00 6% 32 Maluku Utara IDR 2.849.037.035.754,00 49% 33 Papua IDR 14.763.746.028.757,00 34 Papua Barat IDR 6.711.780.735.373,00 Total IDR 365.037.609.398.728,00 Source: Ministry of Home Affairs, 2021 2.1.2 Linking urban policies to finance mechanisms and budgets Indicator 59: Percentage of the local / sub-national government’s financial resources generated from endogenous (internal) sources of revenue Table II. 2: Proportion of Domestic Budget by Domestic Taxes Indicator 2016 2017 2018 2019 2020 Annexes 62.60 Proportion of domestic budget 67.02 64.98 67.01 65.18 2739.1 financed by domestic taxes (%)* 763.9 Total Spending** 1864.3 2007.4 2213.1 2309.3 1975.2 + Central Government** 710.3 742.0 757.8 813.0 1698.6 1404.5 + Transfer to Sub-national 1154.0 1265.4 1455.3 1496.3 294.1 Governments** Domestic Revenue** 1546.9 1645.7 1928.1 1955.1 + Tax** 1285.0 1343.5 1518.8 1546.1 + Non-Tax** 262.0 311.2 409.3 409.0 Source: Bappenas, 2021 Table II. 3 Government Revenue and Tax No. Year Tax to GDP Total Government Revenue as a Proportion of GDP 1 2010 10,54 14,5 2 2011 11,16 15,46 3 2012 11,38 15,53 4 2013 11,29 15,07 5 2014 10,85 14,67 6 2015 10,76 13,08 7 2016 10,36 12,55 8 2017 9,39 12,26 9 2018 10,24 13,09 10 2019 9,76 12,38 11 2020 8,31 10,58 Source: Bappenas, 2021 45
Table II. 4: Percentage of Locally-Generated Revenue by Provinces, 2020 No. Provinces Regional Income Locally-Generated Revenue Percentage of Locally- 1 Aceh IDR 14.183.394.212.942,00 IDR 2.401.682.455.965,00 Generated IDR 5.991.151.365.658,00 Revenue 2 Sumatera Utara IDR 13.517.499.451.958,00 IDR 2.333.922.757.251,00 IDR 4.045.832.280.228,00 17% 3 Sumatera Barat IDR 6.580.124.354.738,00 IDR 1.352.645.560.200,00 44% IDR 1.507.203.796.320,00 35% 4 Riau IDR 9.032.748.802.329,00 IDR 948.694.012.387,00 45% IDR 4.371.615.899.269,00 37% 5 Kepulauan Riau IDR 3.701.942.728.300,00 IDR 749.455.044.035,00 35% 31% 6 Jambi IDR 4.294.675.328.808,00 IDR 3.337.313.053.908,00 43% Rp51.891.120.970.162,00 29% 7 Bengkulu IDR 3.062.274.137.387,00 Rp25.066.632.128.677,00 IDR 7.246.729.223.619,00 44% 8 Sumatera Selatan IDR 10.205.021.421.649,00 Rp14.975.030.288.000,00 72% Rp1.849.837.899.685,00 60% 9 Kepulauan Bangka IDR 568.266.259.035,00 Rp16.277.054.124.784,00 62% IDR 2.865.959.496.090,00 56% Belitung IDR 1.682.688.187.687,00 32% IDR 3.568.765.858.037,00 52% 10 Lampung IDR 593.705.281.643,00 IDR 5.396.942.567.871,00 43% IDR 675.442.500.000,00 35% 11 Dki Jakarta IDR 72.187.510.759.990,00 IDR 386.506.904.336,00 66% IDR 1.413.292.261.344,00 56% 12 Jawa Barat IDR 41.471.996.756.123,00 IDR 405.055.721.419,00 31% IDR 1.102.852.985.718,00 19% 13 Banten IDR 11.633.131.940.619,00 IDR 4.872.694.076.981,00 35% IDR 1.156.648.858.419,00 21% 14 Jawa Tengah IDR 26.840.833.343.000,00 IDR 3.176.436.045.037,00 27% IDR 1.954.341.221.233,00 45% 15 D.IYogyakarta IDR 5.727.769.666.875,00 28% IDR 2.033.518.433.142,00 53% 16 Jawa Timur IDR 31.210.455.987.784,00 36% IDR 533.392.345.865,00 Annexes 17 Kalimantan Barat IDR 6.680.492.541.090,00 IDR 563.920.161.754,00 32% IDR 1.765.651.609.757,00 18 Kalimantan Tengah IDR 4.752.781.571.687,00 IDR 412.577.256.373,00 16% IDR 178.312.607.351.211 20% 19 Kalimantan Selatan IDR 5.426.165.272.537,00 12% 6% 20 Kalimantan Timur IDR 9.590.400.000.000,00 49% 21 Kalimantan Utara IDR 2.210.056.627.000,00 22 Sulawesi Barat IDR 2.047.743.141.042,00 23 Sulawesi Utara IDR 4.072.305.545.344,00 24 Gorontalo IDR 1.914.589.120.419,00 25 Sulawesi Tengah IDR 4.146.970.203.091,00 26 Sulawesi Selatan IDR 10.780.830.352.338,00 27 Sulawesi Tenggara IDR 4.158.361.809.779,00 28 Bali IDR 6.035.277.798.137,00 29 Nusa Tenggara IDR 5.473.931.855.427,00 Barat 30 Nusa Tenggara IDR 6.283.641.817.542,00 Timur 31 Maluku IDR 3.328.147.510.231,00 32 Maluku Utara IDR 2.849.037.035.754,00 33 Papua IDR 14.763.746.028.757,00 34 Papua Barat IDR 6.711.780.735.373,00 Total IDR 365.037.609.398.728,00 Sumber: Ministry of Home Affairs, 2021 46
2.1.3 Legal and policy frameworks to enhance the ability of governments to implement urban policies Indicator 60: Quality of law Data is not available. 2.1.4 Strengthen the capacity of local and subnational governments to implement local and metropolitan multilevel governance Indicator 61: Published performance delivery standards at the sub-national level Data is not available. 2.1.5 Promote participatory, age- and gender-responsive approaches to urban policy and planning Indicator 16: Proportion of cities with a direct participation structure of civil society engagement in urban planning and management, which are regular and democratic. Table II. 5: Number of Men and Women Participated in TPS-3R and Sanimas Programs Number of Men Women Total Location TPS-3R 2019 6 782 289 1,071 2020 139 10,835 2,745 13,580 TOTAL 145 11,617 3,034 14,651 SANIMAS Annexes 2019 41 7,628 3,779 11,407 2020 225 16,581 5,363 21,944 TOTAL 261 24,209 9,142 33,351 Source: Ministry of Public Works and Housings, 2021 2.1.6 Promote women’s full participation in all fields and all levels of decision-making Indicator 24: Proportions of positions (by sex, age, persons with disabilities and population groups) in public institutions (national and local legislatures, public service, and judiciary) compared to national distributions Table II. 6: Proportion of National and Regional Legislative Seats Held by Women, 2009, 2014 and 2019 Legislative Year (%) 2009 2014 2019 The House of Representatives (DPR) 17,86 17,32 20,52 The Regional Representative Council (DPD) 26,57 25,76 30,88 The Provincial House of Representatives (DPRD Provinsi) 15,50 15,92 17,53 The District House of Representatives (DPRD Kabupaten/Kota) 14,24 15,30 Source: Bappenas, 2021 47
Table II. 7: Proportion of Women in Managerial Positions by Province, 2020 No. Provinces Women Proportion in Managerial Positions 1 Southeast Sulawesi 21,54 2 Papua 22,38 3 Bangka Belitung Islands 23,19 4 Riau Islands 23,63 5 West Kalimantan 24,37 6 Bengkulu 24,67 7 North Kalimantan 26,27 8 South Sulawesi 26,42 9 Maluku 26,47 10 Lampung 26,64 11 North Sumatra 26,92 12 South Kalimantan 29,27 13 Central Kalimantan 29,69 14 North Maluku 29,75 15 West Nusa Tenggara 29,82 16 South Sumatra 30,5 17 East Kalimantan 30,62 18 West Java 31,44 19 West Sulawesi 31,49 20 West Nusa Tenggara 32,45 Annexes 21 Riau 32,46 22 Aceh 32,61 23 West Papua 33,4 24 Central Java 33,43 25 Banten 33,89 26 Jakarta 34,19 27 Jambi 35,29 28 Bali 36,38 29 Central Sulawesi 37,01 30 West Sumatra 38,48 31 East Java 39,99 32 Special Region of Yogyakarta 40,54 33 North Sulawesi 47,93 34 Gorontalo 50,40 Source: VNR SDGs, 2021 48
2.2 Planning and Managing Urban Spatial Development 2.2.1 Integrated and balanced territorial development policies Indicator 20: Does the country have a National Urban Policy or Regional Development Plan that (a) responds to population dynamics, (b) ensures balanced territorial development, and (c) increase in local fiscal space.[1] Data is described on the report. Indicator 62: Number of countries, regional governments, and cities in which plans and designs are publicly accessible to residents (on-line) and can be consulted at all times Data is described on the report. 2.2.2 Integrate housing into urban development plans Indicator 13: Proportion of urban population living in slums, informal settlements or inadequate housing Table II. 8: Proportion of Households Living in Slums by Area (%), 2018 – 2020 2018 2019 2020 Urban 10,24 9,04 8,34 Rural 16,43 14,41 12,19 Urban+Rural 13,04 11,4 10,04 Source: Statistics Indonesia, 2020 Table II. 9: Households Living in Slums by Province in Indonesia, 2018-2020 Annexes Provinces 2018 2019 2020 Aceh 11,75 10,61 7,75 Bali 5,43 3,48 3,87 Banten 14,75 12,96 11,89 Bengkulu 10 10,06 7,94 DI Yogyakarta 3,09 2,66 1,54 DKI Jakarta 24,53 23,59 22,07 Gorontalo 13,71 8,66 8,34 Jambi 7,73 6,54 4,35 West Java 16,55 14,09 12,83 Central Java 9,3 7,63 6,01 East Java 10,17 8,29 7,62 West Kalimantan 8,03 8,34 6,03 South Kalimantan 13,25 11,83 9,4 Central Kalimantan 13,21 11 8,08 West Kalimantan 5,82 4,47 4,75 North Kalimantan 5,25 5,01 3,37 Bangka Belitung Islands 18,47 17,76 17,15 Riau Islands 16,28 12,58 10,54 Lampung 11,86 10,29 8,66 Maluku 16,46 13,98 11,59 North Maluku 12,69 9,33 8,98 West Nusa Tenggara 13,75 12,67 10,72 49
Provinces 2018 2019 2020 22,76 31,18 East Nusa Tenggara 37,18 43,29 40,27 44,63 10,24 7,99 Papua 7,11 5,39 9,87 13,63 12,77 West Papua 5,95 8,48 7,2 17,25 12,92 11,7 Riau 10,74 9,24 7,45 13,38 7,51 5,75 West Sulawesi 11,72 8,01 5,81 9,65 12,24 10,59 South Sulawesi 8,23 8,7 7,84 12,58 11,4 10,04 Central Sulawesi 10,46 13,04 South-east Sulawesi North Sulawesi West Sumatera South Sumatera North Sumatera Indonesia Source: Statistics Indonesia, Susenas 2020 2.2.3 Inclusion of culture as a priority component of urban planning Indicator 17: Total expenditure (public and private) per capita spent on the preservation, protection and conservation of all cultural and natural heritage, by type of heritage, level of government, type of expenditure and type of private funding Data is limited to number of cultural heritage in Indonesia (units), 2015-2019. Annexes Table II. 10: Number of Cultural Heritage in Indonesia (Units), 2015-2019 No Year Number of Cultural Heritage 1 2015 979 2 2016 998 3 2017 2117 4 2018 2319 5 2019 2907 Source: Cultural Heritage Potrait of 2020, The Ministry of Education and Culture 2.2.4 Planned urban extensions and infill, urban renewal and regeneration of urban areas Indicator 28: Population Density Table II. 11: Percentage of the Population of Urban Areas in Indonesia, 2010-2035 No. Year Population Density 1 2010 49,8 2 2015 53,5 3 2020 56,7 4 2025 60 5 2030 63,4 6 2035 66,6 Source: Statistics Indonesia, 2020 50
Indicator 29: Land-use mix Data is described on the report. Indicator 63: Number and percent of new population “accommodated” in a plan or city extension Data is not available. 2.2.5 Improved capacity for urban planning and design, and training for urban planners at all levels of government Indicator 64: Number of urban planners per 100,000 persons Table II. 12: Number of Planners per 100.000 of Persons in Indonesia, 2016 No. Country Number of Population GDP per Rasio of Planners Planners Capita per 100k planners 1 Australia 4.700 22.684.000 67.556 4.826 2 Hong Kong 1.000 715.500 36.796 7.154 3 Indonesia 3.100 246.864.000 3.557 79.634 4 Japan -- 27.561.000 46.720 - 5 Malaysia 1.700 292.340.000 10.432 17.176 6 Singapore 1.000 5.312.000 51.709 5.312 7 Thailand -- 66.785.000 5.480 - Source: IAP (2016) Annexes 2.2.6 Strengthening the role of small and intermediate cities and towns Indicator 20: Does your country have a National Urban Policy or Regional Development Plan that (a) responds topopulation dynamics, (b) ensures balanced territorial development, and (c) increase in local fiscal space. Table II. 13: Village Development Index, 2019-2020 No. Village Development Stages 2019 2020 1 Independent Village 831 1.741 11.912 2 Developed Village 6.634 40.029 15.394 3 Developing Village 38.463 5.332 4 Underdeveloped Village 20.368 5 Very Underdeveloped Village 6.652 Source: MoVDDRT, 2020 2.2.7 Promote sustainable multimodal public transport systems including non- motorized options Indicator 14: Proportion of population that has convenient access to public transport, by sex, age and persons with disabilities Data is described on the report. Indicator 35: Percentage of road length that has dedicated bike lanes (excluding motorways). Data is not available. 51
Indicator 36: Percentage of road length that has dedicated sidewalks (excluding motorways). See part 1.1.1.4. 2.3 Means of Implementation 2.3.1 Mobilization of Financial Resources 2.3.1.1 Develop financing frameworks for implementing the NUA at all levels of government Indicator 65: Existence of national structure or office or committee for implementing the New Urban Agenda Data is described on the report. 2.3.1.2 Mobilize endogenous (internal) sources of finance and expand the revenue base of subnational and local governments Indicator 58: Percentage of the total budget that the local / sub-national government have discretion over to decide on priorities (financial autonomy) Table II. 14: Percentage of Realization of Balance Fund in Local Budget Balance Fund Percentage Amount (Trillion IDR) Annexes Revenue Sharing Fund (DBH) 13.99% 92.67 General Allocation Fund (DAU) 60.67% 402.32 Special Allocation Fund (DAK) 25.34% 168.03 Source: MoF, 2018 Indicator 59: Percentage of the local / sub-national government’s financial resources generated from endogenous (internal) sources of revenue Table II. 15: Indonesia Local Government Revenue and Expenditure Realization (in Trillion), 2006 – 2016 No Year Revenue Financing Receipt Expenditure Financing Expenditure 1 2006 69,37 14,68 64,78 19,27 2 2007 77,93 17,28 75,94 19,28 3 2008 96,69 16,63 88,61 24,72 4 2009 98,9 22,29 101,8 20 5 2010 116,8 16,67 112,1 21,31 6 2011 140 20,5 132,2 28,28 7 2012 186 26,44 179,4 33 8 2013 205,7 31,5 203,7 33,58 9 2014 233,2 28,43 219,3 42,37 10 2015 242,7 34,88 247 30,55 11 2016 279,3 23,44 288,7 14,03 Source: Susenas Statistics Indonesia, 2020 52
Table II. 16: Proportion of Domestic Budget Financed by Domestic Taxes (%) Indicator 2016 2017 2018 2019 2020 62.60 Proportion of domestic budget 67.02 64.98 67.01 65.18 2739.1 financed by domestic taxes (%)* 763.9 Total Spending** 1864.3 2007.4 2213.1 2309.3 1975.2 + Central Government** 710.3 742.0 757.8 813.0 1698.6 1404.5 + Transfer to Sub-national 1154.0 1265.4 1455.3 1496.3 294.1 Governments** Domestic Revenue** 1546.9 1645.7 1928.1 1955.1 + Tax** 1285.0 1343.5 1518.8 1546.1 + Non-Tax** 262.0 311.2 409.3 409.0 Source: Bappenas, 2021 Table II. 17: Government Revenue and Tax No. Year Tax to GDP Total Government Revenue as a Propotion of GDP 1 2010 10,54 14,5 2 2011 11,16 15,46 3 2012 11,38 15,53 4 2013 11,29 15,07 5 2014 10,85 14,67 6 2015 10,76 13,08 7 2016 10,36 12,55 8 2017 9,39 12,26 Annexes 9 2018 10,24 13,09 10 2019 9,76 12,38 11 2020 8,31 10,58 Source: Bappenas, 2021 2.3.1.3 Promote sound systems of financial transfers from national to subnational and local governments based on needs, priorities and functions Indicator 66: Stable existence of “transfer formula” in the last 5 years, without major changes, meaning reductions of more than 10%. Table II. 18: Transfer Allocation Details to Regions and Village Funds No. Transfer Allocation Details to Regions Amount (IDR Trillion) and Village Funds 2018 2019 2020 2021 101,96 1 Revenue Sharing Fund (DBH) 89,2 106,35 117,58 390,29 2 General Allocation Fund (DAU) 401,5 417,87 427,09 65,25 3 Physical Special Allocation Fund (DAK 62,4 69,33 72,25 131,18 Fisik) 21,3 4 Non-physical Special Allocation Fund 123,5 131,04 130,28 13,5 (DAK Non Fisik) 72 5 Special Autonomy Fund 21,1 22,18 22,75 795,48 6 Local Incentive Fund (DID) 8,5 10 15 7 Village Fund 60 70 72 Total 766,2 826,77 856,95 Source: MoF, 2018-2021 53
Annexes 2.3.1.4 Mobilize and establish financial intermediaries (multilateral institutions, regional development banks, subnational and local development funds; pooled financing mechanisms etc.) for urban financing Indicator 67: Existence of at least one finance or infrastructure fund available for local / sub-national governments. Data is described on the report. Indicator 68: Percentage of the local / sub-national government’s financial resources generated from financial intermediaries such as multilateral institutions, regional development banks, subnational and local development funds, or pooled financing mechanisms. Data is described on the report. 2.3.2 Capacity Development 2.3.2.1 Expand opportunities for city-to-city cooperation and fostering exchanges of urban solutions and mutual learning Indicator 69: Number of cities participating in city-to-city partnership programmes Data is described on the report. Indicator 70: Number of public water and sanitation utilities participating in institutional capacity development programmes Data is not available. 2.3.2.2 Promote the capacity development as a multifaceted approach to formulate, implement, manage, monitor and evaluate urban development policies Indicator 71: Percentage of cities and subnational governments with staff trained in formulation, implementation, managing, monitoring and evaluation of urban development policies. Data is not available. 2.3.2.3 Strengthen the capacity of all levels of government to work with vulnerable groups to participate effectively in decision-making about urban and territorial development. Indicator 16: Proportion of cities with a direct participation structure of civil society engagement in urban planning and management, which are regular and democratic. Data is limited to musrenbang activities & good practices of Sistem Pantau dan Kontrol Penataan ruang (PATROL TARU / Spatial Planning and Control System). 2.3.2.4 Support local government associations as promoters and providers of capacity development Indicator 72: Size of budget of local government associations Data is described on the report. 54
2.3.2.5 Promote capacity development programmes on the use of legal land-based revenue and financing tools Indicator 73: Number of people who have been trained in the use of land-based revenue and financing tools by UN-Habitat or other institutions Data is limited to the application of property taxes and the function of properties for commercial and industrial purposes. The number of people who have been trained in the use of land-based revenue and financing tools have not been calculated. 2.3.2.6 Promote capacity development programmes of subnational and local governments in financial planning and management Indicator 74: Percentage of cities/subnational staff trained in financial planning and management Data is not available. 2.3.3 Information Technology and Innovation 2.3.3.1 Development of user-friendly, participatory data and digital platforms through e-governance and citizen-centric digital governance tools Indicator 75: Percentage of cities utilizing e-governance and citizen-centric digital governance tools Data is limited to innovation of the use of e-governments. 2.3.3.2 Use of digital tools, including geospatial information systems to improve urban Annexes and territorial planning, land administration and access to urban services Indicator 76: Percentage of cities utilizing geospatial information systems Table II. 19: List of Cities & Regencies That Uses Geospatial Information Systems Province Cities/Regencies Bali Badung Regency Banten Serang Yogykarta Special Region Bantul Regency Sleman Regency Gunungkidul Regency Yogyakarta Jambi Sungai Penuh West Java Sumedang Regency Bandung Bekasi Depok Tasikmalaya Central Java Banyumas Regency Cilacap Regency Sukoharjo Regency Batang Regency East Java Tulungagung Regency 55
Annexes Province Cities/Regencies Banyuwangi Regency West Kalimantan Lamongan Regency Mojokerto Regency Central Kalimantan Sumenep Regency East Kalimantan Kediri Bangka Belitung Islands Malang Riau Islands Sambas Regency Maluku Sanggau Regency Utara Maluku Ketapang Regency West Nusa Tenggara Sintang Regency East Nusa Tenggara Landak Regency Gunung Mas Regency Papua Kutai Timur Regency West Papua Bontang Riau Bangka Regency South Sulawesi Bangka Tengah Regency Tanjung Pinang Central Sulawesi Ambon Halmahera Selatan Regency West Sumatera South Sumatera Sumbawa Barat Regency North Sumatera Lombok Utara Regency Alor Regency Ende Regency Nagekeo Regency Sumba Timur Regency Merauke Regency Jayapura Regency Fakfak Regency Teluk Wondama Regency Dumai Barru Regency Soppeng Regency Luwu Regency North Luwu Regency Pinrang Regency Toraja Regency Toraja Utara Regency Poso Regency Parigi Moutong Regency Banggai Laut Regency Sijunjung Regency Payakumbuh Palembang Tapanuli Selatan Regency 56
Province Cities/Regencies Batu Bara Regency Total Medan Source: GISTARU Interaktif 63 Cities/Regions 2.3.3.3 Strengthen capacities at all levels of government to effectively monitor the implementation of urban development policies Indicator 77: Number of countries that have participated in capacity building workshops on New Urban Agenda indicators Data is limited to the number of provinces, municipalities or regencies that implement local government innovation 2015-2019. Table II. 20: The Number of Provinces, Municipalities or Regencies That Implement Local Government Innovation 2015-2019 Year Indicator 2015 2016 2017 2018 2019 P M/R P M/R P M/R P M/R P M/R Number of local 16 26 17 27 21 52 30 195 34 227 governments facilitated by MoHA in implementing regional Annexes innovation Number of LGs 12 - 3 - 8 - 12 - 12 - implementing regional innovation Note: P = Provinces, M = Municipalities, R = Regencies Source: MoHA Research and Development Agency Performance Report 2019 2.3.3.4 Support all levels of governments in the collection, disaggregation, and analysis of data Indicator 77: Number of countries that have participated in capacity building workshops on New Urban Agenda indicators Data is limited to description of the National One Data program. 57
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