Wikipedia

Indeks Pembangunan Manusia: Perbedaan antara revisi

Jelajahi riwayat secara interaktif
← Revisi sebelumnya
Konten dihapus Konten ditambahkan
VisualTeks wiki
Efanovichz (bicara | kontrib)
368 suntingan
Tag: Suntingan perangkat seluler Suntingan peramban seluler
Saya menambahkan koma
Tag: VisualEditor Suntingan perangkat seluler Suntingan peramban seluler
 
(47 revisi perantara oleh 19 pengguna tidak ditampilkan)
Baris 1:
{{beralih|IPM}}
[[File:2019 UN Human Development Report.svg|thumb|Peta dunia berdasarkan [[Indeks Pembangunan Manusia]] (data 2018, dipublikasikan pada 2019).
[[Berkas:Countries by Human Development Index category (2020).png|jmpl|449x449px|Peta dunia berdasarkan IPM (data tahun 2019, terbit pada 2020)
{| border="0" cellspacing="0" cellpadding="0" style="width:100%; background:none;"
|-
Baris 9 ⟶ 10:
{{Legend|#ace8d4|0.350–0.549 (rendah)}}
{{Legend|#a0a0a0|Data tidak tersedia}}
|}|450px]]
 
'''Indeks Pembangunan Manusia''' (IPM) atau '''IPM''Human Development Index''''' (''HDI'') adalah pengukuranukuran perbandingan dari [[harapan hidup|harapan hidup,]], [[ melek huruf]], [[pendidikan]] dan [[standar hidup]] untuk semua negara di seluruh dunia. IPM digunakanmenjelaskan untukbagaimana mengklasifikasikanpenduduk apakahdapat sebuahmengakses negarahasil adalahpembangunan [[negaradalam maju]], [[negara berkembang]] atau [[negara terbelakang]] dan juga untuk mengukur pengaruh dari kebijaksanaan ekonomi terhadap kualitas hidup.<ref>[http://www.business.duq.edu/faculty/davies/research/hdi.pdfmemperoleh Daviespendapatan, A. and G. Quinlivan (2006)kesehatan, A Panel Data Analysis of the Impact of Trade on Human Developmentpendidikan, Journaldan of Socioeconomics]</ref>sebagainya.
 
IPM diperkenalkan oleh [[Program Pembangunan Perserikatan Bangsa-Bangsa]] (PPPBB) pada tahun 1990 dan diterbitkan secara berkala dalam Laporan Pembangunan Manusia (LPM) setiap tahunnya. IPM digunakan untuk klasifikasi apakah sebuah negara adalah [[negara maju]], [[negara berkembang]] atau [[negara terbelakang]] dan juga untuk mengukur pengaruh dari kebijaksanaan ekonomi terhadap kualitas hidup.<ref>{{cite web|author1=Davies, A.|author2=Quinlivan, G.|url=http://www.business.duq.edu/faculty/davies/research/hdi.pdf|title=A Panel Data Analysis of the Impact of Trade on Human Development|journal=Journal of Socioeconomics|access-date=11 Mei 2007|archive-date=13 April 2008|archive-url=https://web.archive.org/web/20080413203311/http://www.business.duq.edu/faculty/davies/research/hdi.pdf|dead-url=yes}}</ref>
 
== Sejarah ==
Indeks ini pada 1990 dikembangkan oleh pemenang nobel India [[Amartya Sen]] dan seorang ekonom Pakistan [[Mahbub ul Haq]], serta dibantu oleh [[Gustav Ranis]] dari [[Universitas Yale]] dan [[Lord Meghnad Desai]] dari ''[[London School of Economics]].'' Sejak saat itu, indeks ini dipakai oleh Program pembangunan [[PBB]]UNDP pada laporan IPM tahunannya.
 
Amartya Sen menggambarkan indeks ini sebagai "pengukuran vulgar" oleh karena batasannya. Indeks ini lebih berfokus pada hal-hal yang lebih sensitif dan berguna daripada hanya sekadar pendapatan perkapita yang selama ini digunakan. Indeks ini juga berguna sebagai jembatan bagi peneliti yang serius untuk mengetahui hal-hal yang lebih terinci dalam membuat laporan pembangunan manusianya.
 
== Konsep ==
== Dimensi dasar IPM<ref name=":0" /> ==
=== Dimensi Dasar ===
Indeks Pembangunan Manusia (IPM) memiliki tiga dimensi yang digunakan sebagai dasar perhitungannya:
#* '''Umur panjang dan hidup sehatKesehatan''', yang diukur dengan [[Harapan hidup|angka harapan hidup]] saat kelahiran
#* '''PengetahuanPendidikan''', yang dihitung dari [[Harapan sekolah|angka harapan sekolah]] dan [[Rata-rata lama sekolah|angka rata-rata lama sekolah]]
#* '''Standar hidup layak''', yang dihitung dari [[Produkproduk domestiknasional bruto|Produk Domestik Bruto/PDB]] ([[keseimbangan kemampuan berbelanja]]) [[Daftar negara menurut PDB (KKB) per kapita|per kapita]]
 
=== Manfaat IPM<ref name=":0" /> ==
Menurut [[Badan Pusat Statistik|Badan Pusat Statisitik]] (BPS), Indeks Pembangunan Manusia (IPM) memiliki beberapa manfaat, yaitu:
* IPM merupakan indikator penting untuk mengukur keberhasilan dalam upaya membangun kualitas hidup manusia ([[Masyarakat|masyarakat/penduduk]])
* IPM dapat menentukan peringkat atau level pembangunan suatu wilayah/negara
* Bagi [[Indonesia]], IPM merupakan data strategis karena selain sebagai ukuran kinerja [[Pemerintah Indonesia|Pemerintah]], IPM juga digunakan sebagai salah satu alokator penentuan [[Dana Alokasi Umum]] (DAU)
 
== Metodologi ==
== Cara menghitung indeks komponen<ref name=":0">{{Cite web|url=https://www.bps.go.id/subjek/view/id/26#subjekViewTab2|title=Badan Pusat Statistik|website=www.bps.go.id|language=en|access-date=2017-04-24}}</ref> ==
=== Menghitung Indeks Komponen ===
Setiap komponen IPM distandardisasi dengan nilai minimum dan maksimum sebelum digunakan untuk menghitung IPM. Rumus yang digunakan sebagai berikut.
 
==== Dimensi Kesehatan ====
<math>Ikesehatan={AHH-AHHmin \over AHHmaks-AHHmin}</math>
 
==== Dimensi Pendidikan ====
Keterangan:
 
I: indeks komponen
 
AHH: angka harapan hidup
 
AHHmin: angka harapan hidup terendah
 
AHHmaks: angka harapan hidup tertinggi
 
=== Dimensi Pendidikan ===
<math>IHLS={HLS-HLSmin \over HLSmaks-HLSmin}</math>
 
Keterangan:
 
I: indeks komponen
 
HLS: harapan lama sekolah
 
HLSmin: harapan lama sekolah terendah
 
HLSmaks: harapan lama sekolah tertinggi
 
<math>IRLS={RLS-RLSmin \over RLSmaks-RLSmin}</math>
 
Keterangan:
 
I: indeks komponen
 
RLS: rata-rata lama sekolah
 
RLSmin: rata-rata lama sekolah terendah
 
RLSmaks: rata-rata lama sekolah tertinggi
 
<math>Ipendidikan={IHLS+IRLS \over 2}</math>
 
==== Dimensi Pengeluaran ====
I: indeks komponen
 
HLS: harapan lama sekolah
 
RLS: rata-rata lama sekolah
 
=== Dimensi Pengeluaran ===
<math>Ipengeluaran={In(pengeluaran)-In(pengeluaranmin) \over In(pengeluaranmaks)-In(pengeluaranmin)}</math>
 
=== Menghitung Indeks Pembangunan Manusia ===
Keterangan:
IPM dihitung sebagai rata-rata geometrik dari indeks kesehatan, pendidikan, dan pengeluaran.
 
I: indeks komponen
 
In: indeks komponen
 
pengeluaranmin: pengeluaran terendah
 
pengeluaranmaks: pengeluaran tertinggi
 
== Cara menghitung Indeks Pembangunan Manusia ==
<math>IPM=\sqrt[a]{Ikesehatan\times Ipendidikan\times Ipengeluaran} \times 100</math>
 
Keterangan:
 
IPM: indeks pembangunan manusia
 
I: indeks komponen
 
== Indonesia ==
Baris 108 ⟶ 62:
!scope="col" colspan="4"| {{small|INDEKS PEMBANGUNAN MANUSIA}}
|-
! scope="col" style="width:75px;"| {{small|[[Program Pembangunan Perserikatan Bangsa-Bangsa|UNDP]]}}<ref>{{Cite web|url=http://hdr.undp.org/en/indicators/137506|title=United Nations Development Programme|publisher=[[Program Pembangunan Perserikatan Bangsa-Bangsa|UNDP]]|language=en|date=2020|access-date=09-08-23 Desember 2020}}</ref>
! scope="col" style="width:75px;"| {{small|Perubahan}}
! scope="col" style="width:75px;"| {{small|[[Badan Pusat Statistik|BPS]]}}<ref>{{Cite web|url=https://ipm.bps.go.id/data/nasional/metode/lama|title=Indeks Pembangunan Manusia Menurut Provinsi [(Metode Lama]), 1996-2013|publisher=[[Badan Pusat Statistik|BPS]]|language=id|date=2014|access-date=2523 Desember 2020|archive-08date=2020-10-19|archive-url=https://web.archive.org/web/20201019215729/https://ipm.bps.go.id/data/nasional/metode/lama|dead-url=yes}}</ref><ref>{{Cite web|url=https://ipm.bps.go.id/data/nasional/metode/baru|title=Indeks Pembangunan Manusia Menurut Provinsi (Metode Baru) 2010-2018|publisher=BPS|language=id|date=2018|access-date=23 Desember 2020|archive-date=2020-12-31|archive-url=https://web.archive.org/web/20201231195015/https://ipm.bps.go.id/data/nasional/metode/baru|dead-url=yes}}</ref><ref name="Metode Baru"/>
! scope="col" style="width:75px;"| {{small|Perubahan}}
|-
Baris 236 ⟶ 190:
|rowspan="2" style="background: #fff698;"|0,664
|rowspan="2"|{{increase}} 0,006
!colspan="2"|{{small|'''METODEMetode BARUBaru'''}}<ref name="Metode Baru">{{Cite web|url=https://www.bps.go.id/dynamictable/2020/02/18/1772/indeks-pembangunan-manusia-menurut-provinsi-metode-baru-2010-2019.html|title=Indeks Pembangunan Manusia Menurut Provinsi [(Metode Baru]), 2010-2019|publisher=BPS|language=id|date=2020|access-date=25-08-23 Desember 2020}}</ref>
|-
|style="background: #fff698;"|66,53
Baris 288 ⟶ 242:
|style="background: #b0d9ad;"|71,39
|{{increase}} 0,58
|}
 
Catatan:
{{Legend|orange|Krisis Moneter dan krisis ekonomi lainnya}}
{{Legend|red|[[Krisis finansial Asia 1997|Krisis Moneter]] dan [[Sejarah Indonesia (1998-sekarang)|kelabilan politik Indonesia]] (menyebabkan jatuhnya pendapatan per kapita)}}
{{Legend|yellow|Proses pemulihan dari Krisis Moneter}}
{{Legend|green|Pulih dari Krisis Moneter (pendapatan per kapita sama dengan sebelum krisis moneter) <ref>{{Cite web|url=http://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=ID|title=The World Bank|wwebsite= http://data.worldbank.org/indicator/NY.GDP.PCAP.CD |language=en|access-date=03-07-2017}}</ref>}}
{{Legend|#6bc8ea|IPM sangat tinggi}}
{{Legend|#b0d9ad|IPM tinggi}}
{{Legend|#fff698|IPM sedang}}
{{Legend|#f598ab|IPM rendah}}
 
== Laporan 2016 ==
{{main|Laporan Pembangunan Manusia 2016}}
Laporan ini diumumkan di [[Stockholm]], [[Swedia]] pada [[21 Maret]] [[2017]].<ref>{{Cite web|url=http://hdr.undp.org/en/content/human-development-report-2016-%E2%80%98human-development-everyone%E2%80%99-launch-21-march-2017-stockholm|title=Human Development Report 2016 ‘Human Development for Everyone’ to Launch 21 March 2017 in Stockholm, Sweden {{!}} Human Development Reports|website=hdr.undp.org|language=en|access-date=2017-07-09}}</ref>
 
* {{Increase}} = meningkat
* {{Steady}} = tetap
* {{Decrease}} = menurun
<!-- * Similar HDI values in the current list do not lead to ranking ties, since the HDI rank is actually determined using HDI values to the sixth decimal point. (It changed on the 2013 report, and know there are ranking ties) -->
{{clear}}
 
=== {{font color|blue|Pembangunan manusia sangat tinggi}} ===
{{col-begin}}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
|2019
!scope="col" colspan="2"| Peringkat
|style="background: #b0d9ad;"|0,718
! scope="col" rowspan="2" style="width:250px;"| Negara
|{{increase}} 0,011
!scope="col" colspan="2"| IPM
|style="background: #b0d9ad;"|71,92
|-
|{{increase}} 0,53
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan peringkat dari tahun sebelumnya</small><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan dari tahun sebelumnya</small><br /><ref name="UNDP2016"/>
|-
| 1 || {{steady}} ||style="text-align:left"| {{flag|Norwegia}} || 0,949 || {{increase}} 0,001
|-
| 2 || {{increase}} (1) ||style="text-align:left"| {{flag|Australia}} || 0,939 || {{increase}} 0,002
|-
| 2 || {{steady}} ||style="text-align:left"| {{flag|Swiss}} || 0,939 || {{increase}} 0,001
|-
| 4 || {{steady}} ||style="text-align:left"| {{flag|Jerman}} || 0,926 || {{increase}} 0,002
|-
| 5 || {{increase}} (1) ||style="text-align:left"| {{flag|Denmark}} || 0,925 || {{increase}} 0,002
|-
| 5 || {{decrease}} (1) ||style="text-align:left"| {{flag|Singapura}} || 0,925 || {{increase}} 0,001
|-
| 7 || {{decrease}} (1) ||style="text-align:left"| {{flag|Belanda}} || 0,924 || {{increase}} 0,001
|-
| 8 || {{steady}} ||style="text-align:left"| {{flag|Irlandia}} || 0,923 || {{increase}} 0,003
|-
| 9 || {{steady}} ||style="text-align:left"| {{flag|Islandia}} || 0,921 || {{increase}} 0,002
|-
| 10 || {{decrease}} (1) ||style="text-align:left"| {{flag|Kanada}} || 0,920 || {{increase}} 0,001
|-
| 10 || {{increase}} (1) ||style="text-align:left"| {{flag|Amerika Serikat}} || 0,920 || {{increase}} 0,002
|-
| 12 || {{steady}} ||style="text-align:left"| {{flag|Hong Kong}} || 0,917 || {{increase}} 0,001
|-
| 13 || {{steady}} ||style="text-align:left"| {{flag|Selandia Baru}} || 0,915 || {{increase}} 0,002
|-
| 14 || {{increase}} (1) ||style="text-align:left"| {{flag|Swedia}} || 0,913 || {{increase}} 0,004
|-
| 15 || {{decrease}} (1) ||style="text-align:left"| {{flag|Liechtenstein}} || 0,912 || {{increase}} 0,001
|-
| 16 || {{steady}} ||style="text-align:left"| {{flag|Britania Raya}} || 0,909 || {{increase}} 0,001
|-
| 17 || {{steady}} ||style="text-align:left"| {{flag|Jepang}} || 0,903 || {{increase}} 0,001
|-
| 18 || {{steady}} ||style="text-align:left"| {{flag|Korea Selatan}} || 0,901 || {{increase}} 0,002
|-
| 19 || {{steady}} ||style="text-align:left"| {{flag|Israel}} || 0,899 || {{increase}} 0,001
|-
| 20 || {{steady}} ||style="text-align:left"| {{flag|Luksemburg}} || 0,898 || {{increase}} 0,002
|-
| 21 || {{increase}} (1) ||style="text-align:left"| {{flag|Prancis}} || 0,897 || {{increase}} 0,003
|-
| 22 || {{decrease}} (1) ||style="text-align:left"| {{flag|Belgia}} || 0,896 || {{increase}} 0,001
|-
| 23 || {{steady}} ||style="text-align:left"| {{flag|Finlandia}} || 0,895 || {{increase}} 0,002
|-
| 24 || {{steady}} ||style="text-align:left"| {{flag|Austria}} || 0,893 || {{increase}} 0,001
|-
| 25 || {{steady}} ||style="text-align:left"| {{flag|Slovenia}} || 0,890 || {{increase}} 0,002
|}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!scope="col" colspan="2"| Peringkat
! scope="col" rowspan="2" style="width:250px;"| Negara
!scope="col" colspan="2"| IPM
|-
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan peringkat dari tahun sebelumnya</small><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan dari tahun sebelumnya</small><br /><ref name="UNDP2016"/>
|-
| 26 || {{increase}} (1) ||style="text-align:left"| {{flag|Italia}} || 0,887 || {{increase}} 0,006
|-
| 27 || {{decrease}} (1) ||style="text-align:left"| {{flag|Spanyol}} || 0,884 || {{increase}} 0,002
|-
| 28 || {{steady}} ||style="text-align:left"| {{flag|Ceko}} || 0,878 || {{increase}} 0,003
|-
| 29 || {{steady}} ||style="text-align:left"| {{flag|Yunani}} || 0,866 || {{increase}} 0,001
|-
| 30 || {{steady}} ||style="text-align:left"| {{flag|Brunei Darussalam}} || 0,865 || {{increase}} 0,001
|-
| 30 || {{increase}} (1) ||style="text-align:left"| {{flag|Estonia}} || 0,865 || {{increase}} 0,002
|-
| 32 || {{steady}} ||style="text-align:left"| {{flag|Andorra}} || 0,858 || {{increase}} 0,001
|-
| 33 || {{increase}} (1) ||style="text-align:left"| {{flag|Siprus}} || 0,856 || {{increase}} 0,002
|-
| 33 || {{increase}} (2) ||style="text-align:left"| {{flag|Malta}} || 0,856 || {{increase}} 0,003
|-
| 33 || {{steady}} ||style="text-align:left"| {{flag|Qatar}} || 0,856 || {{increase}} 0,001
|-
| 36 || {{steady}} ||style="text-align:left"| {{flag|Polandia}} || 0,855 || {{increase}} 0,003
|-
| 37 || {{steady}} ||style="text-align:left"| {{flag|Lithuania}} || 0,848 || {{increase}} 0,002
|-
| 38 || {{steady}} ||style="text-align:left"| {{flag|Chili}} || 0,847 || {{increase}} 0,002
|-
| 38 || {{steady}} ||style="text-align:left"| {{flag|Arab Saudi}} || 0,847 || {{increase}} 0,002
|-
| 40 || {{steady}} ||style="text-align:left"| {{flag|Slowakia}} || 0,845 || {{increase}} 0,003
|-
| 41 || {{steady}} ||style="text-align:left"| {{flag|Portugal}} || 0,843 || {{increase}} 0,002
|-
| 42 || {{steady}} ||style="text-align:left"| {{flag|Uni Emirat Arab}} || 0,840 || {{increase}} 0,004
|-
| 43 || {{steady}} ||style="text-align:left"| {{flag|Hungaria}} || 0,836 || {{increase}} 0,002
|-
| 44 || {{steady}} ||style="text-align:left"| {{flag|Latvia}} || 0,830 || {{increase}} 0,002
|-
| 45 || {{steady}} ||style="text-align:left"| {{flag|Argentina}} || 0,827 || {{increase}} 0,001
|-
| 45 || {{increase}} (1) ||style="text-align:left"| {{flag|Kroasia}} || 0,827 || {{increase}} 0,004
|-
| 47 || {{decrease}} (1) ||style="text-align:left"| {{flag|Bahrain}} || 0,824 || {{increase}} 0,001
|-
| 48 || {{decrease}} (1) ||style="text-align:left"| {{flag|Montenegro}} || 0,807 || {{increase}} 0,003
|-
| 49 || {{decrease}} (1) ||style="text-align:left"| {{flag|Rusia}} || 0,804 || {{decrease}} 0,001
|-
| 50 || {{increase}} (1) ||style="text-align:left"| {{flag|Romania}} || 0,802 || {{increase}} 0,004
|-
| 51 || {{decrease}} (1) ||style="text-align:left"| {{flag|Kuwait}} || 0,800 || {{increase}} 0,001
|}
{{col-end}}
 
Keterangan:
=== {{font color|green|Pembangunan manusia tinggi}} ===
{| border="0" cellspacing="0" cellpadding="0" style="width:100%; background:none;"
{{col-begin}}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
|valign="top" style="width:60%;"|
!scope="col" colspan="2"| Peringkat
{{Legend|red|{{small|[[Krisis finansial Asia 1997|Krisis Moneter]] dan [[Sejarah Indonesia (1998-sekarang)|kelabilan politik Indonesia]] (menyebabkan jatuhnya pendapatan per kapita)}}}}
! scope="col" rowspan="2" style="width:250px;"| Negara
{{Legend|orange|{{small|Krisis Moneter dan krisis ekonomi lainnya}}}}
!scope="col" colspan="2"| IPM
{{Legend|yellow|{{small|Proses pemulihan dari Krisis Moneter}}}}
|-
{{Legend|green|{{small|Pulih dari Krisis Moneter (pendapatan per kapita sama dengan sebelum krisis moneter)}}<ref>{{Cite web|url=http://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=ID|title=The World Bank - Indonesia|publisher=[[Bank Dunia]]|language=en|date=2020|access-date=23 Desember 2020}}</ref>}}
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
|valign="top" style="width:40%;"|
! scope="col" style="width:75px;"| <small>Perubahan peringkat dari tahun sebelumnya</small><ref name="UNDP2016"/>
{{Legend|#6bc8ea|{{small|IPM sangat tinggi}}}}
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
{{Legend|#b0d9ad|{{small|IPM tinggi}}}}
! scope="col" style="width:75px;"| <small>Perubahan dari tahun sebelumnya</small><br /><ref name="UNDP2016"/>
{{Legend|#fff698|{{small|IPM sedang}}}}
|-
{{Legend|#f598ab|{{small|IPM rendah}}}}
| 52 || {{decrease}} (1) ||style="text-align:left"| {{flag|Belarus}} || 0,796 || {{decrease}} 0,002
|-
| 52 || {{increase}} (1) ||style="text-align:left"| {{flag|Oman}} || 0,796 || {{increase}} 0,001
|-
| 54 || {{steady}} ||style="text-align:left"| {{flag|Barbados}} || 0,795 || {{increase}} 0,001
|-
| 54 || {{steady}} ||style="text-align:left"| {{flag|Uruguay}} || 0,795 || {{increase}} 0,001
|-
| 56 || {{increase}} (1) ||style="text-align:left"| {{flag|Bulgaria}} || 0,794 || {{increase}} 0,002
|-
| 56 || {{steady}} ||style="text-align:left"| {{flag|Kazakhstan}} || 0,794 || {{increase}} 0,001
|-
| 58 || {{steady}} ||style="text-align:left"| {{flag|Bahama}} || 0,792 || {{increase}} 0,002
|-
| 59 || {{steady}} ||style="text-align:left"| {{flag|Malaysia}} || 0,789 || {{increase}} 0,010
|-
| 60 || {{increase}} (2) ||style="text-align:left"| {{flag|Palau}} || 0,788 || {{increase}} 0,005
|-
| 60 || {{steady}} ||style="text-align:left"| {{flag|Panama}} || 0,788 || {{increase}} 0,003
|-
| 62 || {{decrease}} (1) ||style="text-align:left"| {{flag|Antigua dan Barbuda}} || 0,786 || {{increase}} 0,002
|-
| 63 || {{steady}} ||style="text-align:left"| {{flag|Seychelles}} || 0,782 || {{increase}} 0,001
|-
| 64 || {{steady}} ||style="text-align:left"| {{flag|Mauritius}} || 0,781 || {{increase}} 0,002
|-
| 65 || {{decrease}} (1) ||style="text-align:left"| {{flag|Trinidad dan Tobago}} || 0,780 || {{increase}} 0,001
|-
| 66 || {{steady}} ||style="text-align:left"| {{flag|Kosta Rika}} || 0,776 || {{increase}} 0,001
|-
| 66 || {{steady}} ||style="text-align:left"| {{flag|Serbia}} || 0,776 || {{increase}} 0,001
|-
| 68 || {{increase}} (1) ||style="text-align:left"| {{flag|Kuba}} || 0,775 || {{increase}} 0,003
|-
| 69 || {{decrease}} (1) ||style="text-align:left"| {{flag|Iran}} || 0,774 || {{steady}}
|-
| 70 || {{increase}} (1) ||style="text-align:left"| {{flag|Georgia}} || 0,769 || {{increase}} 0,001
|-
| 71 || {{increase}} (1) ||style="text-align:left"| {{flag|Turki}} || 0,767 || {{increase}} 0,003
|-
| 71 || {{decrease}} (1) ||style="text-align:left"| {{flag|Venezuela}} || 0,767 || {{decrease}} 0,002
|-
| 73 || {{increase}} (1) ||style="text-align:left"| {{flag|Sri Lanka}} || 0,766 || {{increase}} 0,002
|-
| 74 || {{increase}} (1) ||style="text-align:left"| {{flag|Saint Kitts dan Nevis}} || 0,765 || {{increase}} 0,003
|-
| 75 || {{steady}} ||style="text-align:left"| {{flag|Albania}} || 0,764 || {{increase}} 0,002
|-
| 76 || {{decrease}} (2) ||style="text-align:left"| {{flag|Lebanon}} || 0,763 || {{steady}}
|-
| 77 || {{steady}} ||style="text-align:left"| {{flag|Meksiko}} || 0,762 || {{increase}} 0,004
|-
| 78 || {{decrease}} (1) ||style="text-align:left"| {{flag|Azerbaijan}} || 0,759 || {{increase}} 0,001
|-
| 79 || {{steady}} ||style="text-align:left"| {{flag|Brasil}} || 0,754 || {{steady}}
 
|}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!scope="col" colspan="2"| Peringkat
! scope="col" rowspan="2" style="width:250px;"| Negara
!scope="col" colspan="2"| IPM
|-
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan peringkat dari tahun sebelumnya</small><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan dari tahun sebelumnya</small><br /><ref name="UNDP2016"/>
|-
| 79 || {{increase}} (1) ||style="text-align:left"| {{flag|Grenada}} || 0,754 || {{increase}} 0.003
|-
| 81 || {{increase}} (1) ||style="text-align:left"| {{flag|Bosnia dan Herzegovina}} || 0,750 || {{increase}} 0.003
|-
| 82 || {{steady}} ||style="text-align:left"| {{flag|Makedonia}} || 0,748 || {{increase}} 0,002
|-
| 83 || {{increase}} (1) ||style="text-align:left"| {{flag|Aljazair}} || 0,745 || {{increase}} 0,002
|-
| 84 || {{increase}} (1) ||style="text-align:left"| {{flag|Armenia}} || 0,743 || {{increase}} 0,002
|-
| 84 || {{decrease}} (3) ||style="text-align:left"| {{flag|Ukraina}} || 0,743 || {{decrease}} 0,005
|-
| 86 || {{decrease}} (1) ||style="text-align:left"| {{flag|Yordania}} || 0,741 || {{steady}}
|-
| 87 || {{increase}} (2) ||style="text-align:left"| {{flag|Peru}} || 0,740 || {{increase}} 0,003
|-
| 87 || {{increase}} (1) ||style="text-align:left"| {{flag|Thailand}} || 0,740 || {{increase}} 0,003
|-
| 89 || {{decrease}} (2) ||style="text-align:left"| {{flag|Ekuador}} || 0,739 || {{steady}}
|-
| 90 || {{increase}} (1) ||style="text-align:left"| {{flag|Tiongkok}} || 0,738 || {{increase}} 0,010
|-
| 91 || {{steady}} ||style="text-align:left"| {{flag|Fiji}} || 0,736 || {{increase}} 0,002
|-
| 92 || {{increase}} (1) ||style="text-align:left"| {{flag|Mongolia}} || 0,735 || {{increase}} 0,002
|-
| 92 || {{decrease}} (2) ||style="text-align:left"| {{flag|Saint Lucia}} || 0,735 || {{steady}}
|-
| 94 || {{steady}} ||style="text-align:left"| {{flag|Jamaika}} || 0,730 || {{increase}} 0,001
|-
| 95 || {{steady}} ||style="text-align:left"| {{flag|Kolombia}} || 0,727 || {{increase}} 0,003
|-
| 96 || {{decrease}} (1) ||style="text-align:left"| {{flag|Dominika}} || 0,726 || {{increase}} 0,002
|-
| 97 || {{steady}} ||style="text-align:left"| {{flag|Suriname}} || 0,725 || {{decrease}} 0,002
|-
| 97 || {{steady}} ||style="text-align:left"| {{flag|Tunisia}} || 0,725 || {{increase}} 0,002
|-
| 99 || {{increase}} (2) ||style="text-align:left"| {{flag|Republik Dominika}} || 0,722 || {{increase}} 0,004
|-
| 99 || {{steady}} ||style="text-align:left"| {{flag|Saint Vincent dan Grenadine}} || 0,722 || {{increase}} 0,002
|-
|101 || {{steady}} ||style="text-align:left"| {{flag|Tonga}} || 0,721 || {{increase}} 0,003
|-
|— || — ||style="text-align:left"| ''[[Dunia]]'' || 0,717 || —
|-
|102 || {{decrease}} (2) ||style="text-align:left"| {{flag|Libya}} || 0,716 || {{decrease}} 0,003
|-
|103 || {{steady}} ||style="text-align:left"| {{flag|Belize}} || 0,706 || {{steady}}
|-
|104 || {{steady}} ||style="text-align:left"| {{flag|Samoa}} || 0,704 || {{increase}} 0,002
|-
|105 || {{steady}} ||style="text-align:left"| {{flag|Maladewa}} || 0,701 || {{steady}}
|-
|105 || {{increase}} (3) ||style="text-align:left"| {{flag|Uzbekistan}} || 0,701 || {{increase}} 0,004
|}
{{col-end}}
 
=== {{font color|#fc0|Pembangunan manusia sedang}} ===
{{col-begin}}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!scope="col" colspan="2"| Peringkat
! scope="col" rowspan="2" style="width:250px;"| Negara
!scope="col" colspan="2"| IPM
|-
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan peringkat dari tahun sebelumnya</small><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan dari tahun sebelumnya</small><br /><ref name="UNDP2016"/>
|-
|107 || {{decrease}} (2) ||style="text-align:left"| {{flag|Moldova}} || 0,699 || {{decrease}} 0,002
|-
|108 || {{decrease}} (1) ||style="text-align:left"| {{flag|Botswana}} || 0,698 || {{steady}}
|-
|109 || {{steady}} ||style="text-align:left"| {{flag|Gabon}} || 0,697 || {{increase}} 0,003
|-
|110 || {{steady}} ||style="text-align:left"| {{flag|Paraguay}} || 0,693 || {{increase}} 0,001
|-
|111 || {{steady}} ||style="text-align:left"| {{flag|Mesir}} || 0,691 || {{increase}} 0,003
|-
|111 || {{steady}} ||style="text-align:left"| {{flag|Turkmenistan}} || 0,691 || {{increase}} 0,003
|-
|113 || {{steady}} ||style="text-align:left"| {{flag|Indonesia}} ||0,689 || {{increase}} 0,003
|-
|114 || {{increase}} (1) ||style="text-align:left"| {{flag|Palestina}} || 0,684 || {{increase}} 0,006
|-
|115 || {{steady}} ||style="text-align:left"| {{flag|Vietnam}} || 0,683 || {{increase}} 0,005
|-
|116 || {{decrease}} (2) ||style="text-align:left"| {{flag|Filipina}} || 0,682 || {{increase}} 0,003
|-
|117 || {{decrease}} (2) ||style="text-align:left"| {{flag|El Salvador}} || 0,680 || {{increase}} 0,002
|-
|118 || {{steady}} ||style="text-align:left"| {{flag|Bolivia}} || 0,674 || {{increase}} 0,003
|-
|119 || {{steady}} ||style="text-align:left"| {{flag|Afrika Selatan}} || 0,666 || {{increase}} 0,001
|-
|120 || {{steady}} ||style="text-align:left"| {{flag|Kirgizstan}} || 0,664 || {{increase}} 0,002
|-
|121 || {{steady}} ||style="text-align:left"| {{flag|Irak}} || 0,649 || {{steady}}
|-
|122 || {{steady}} ||style="text-align:left"| {{flag|Tanjung Verde}}|| 0,648 || {{increase}} 0,002
|-
|123 || {{steady}} ||style="text-align:left"| {{flag|Maroko}} || 0,647 || {{increase}} 0,002
|-
|124 || {{steady}} ||style="text-align:left"| {{flag|Nikaragua}} || 0,645 || {{increase}} 0,003
|-
|125 || {{increase}} (1) ||style="text-align:left"| {{flag|Guatemala}} || 0,640 || {{increase}} 0,003
|-
|125 || {{increase}} (1) ||style="text-align:left"| {{flag|Namibia}} || 0,640 || {{increase}} 0,003
|}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!scope="col" colspan="2"| Peringkat
! scope="col" rowspan="2" style="width:250px;"| Negara
!scope="col" colspan="2"| IPM
|-
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan peringkat dari tahun sebelumnya</small><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan dari tahun sebelumnya</small><br /><ref name="UNDP2016"/>
|-
|127 || {{decrease}} (2) ||style="text-align:left"| {{flag|Guyana}} || 0,638 || {{steady}}
|-
|127 || {{decrease}} (1) ||style="text-align:left"| {{flag|Mikronesia}} || 0,638 || {{increase}} 0,001
|-
|129 || {{steady}} ||style="text-align:left"| {{flag|Tajikistan}} || 0,627 || {{increase}} 0,002
|-
|130 || {{steady}} ||style="text-align:left"| {{flag|Honduras}} || 0,625 || {{increase}} 0,002
|-
|131 || {{steady}} ||style="text-align:left"| {{flag|India}} || 0,624 || {{increase}} 0,009
|-
|132 || {{steady}} ||style="text-align:left"| {{flag|Bhutan}} || 0,607 || {{increase}} 0,003
|-
|133 || {{steady}} ||style="text-align:left"| {{flag|Timor Leste}} || 0,605 || {{increase}} 0,002
|-
|134 || {{steady}} ||style="text-align:left"| {{flag|Vanuatu}} || 0,597 || {{decrease}} 0,001
|-
|135 || {{steady}} ||style="text-align:left"| {{flag|Republik Kongo}} || 0,592 || {{increase}} 0,003
|-
|135 || {{increase}} (2) ||style="text-align:left"| {{flag|Guinea Khatulistiwa}} || 0,592 || {{increase}} 0,010
|-
|137 || {{decrease}} (1) ||style="text-align:left"| {{flag|Kiribati}} || 0,588 || {{increase}} 0,002
|-
|138 || {{decrease}} (1) ||style="text-align:left"| {{flag|Laos}} || 0,586 || {{increase}} 0,004
|-
|139 || {{increase}} (1) ||style="text-align:left"| {{flag|Bangladesh}} || 0,579 || {{increase}} 0,004
|-
|139 || {{increase}} (1) ||style="text-align:left"| {{flag|Ghana}} || 0,579 || {{increase}} 0,004
|-
|139 || {{steady}} ||style="text-align:left"| {{flag|Zambia}} || 0,579 || {{increase}} 0,003
|-
|142 || {{steady}} ||style="text-align:left"| {{flag|Sao Tome dan Principe}} || 0,574 || {{increase}} 0,009
|-
|143 || {{steady}} ||style="text-align:left"| {{flag|Cambodia}} || 0,563 || {{increase}} 0,005
|-
|144 || {{steady}} ||style="text-align:left"| {{flag|Nepal}} || 0,558 || {{increase}} 0,003
|-
|145 || {{increase}} (1) ||style="text-align:left"| {{flag|Myanmar}} || 0,556 || {{increase}} 0,004
|-
|146 || {{increase}} (1) ||style="text-align:left"| {{flag|Kenya}} || 0,555 || {{increase}} 0,005
|-
|147 || {{increase}} (1) ||style="text-align:left"| {{flag|Pakistan}} || 0,550 || {{increase}} 0,002
|}
{{col-end}}
 
=== {{fontcolor|red|Pembangunan manusia rendah}} ===
{{col-begin}}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!scope="col" colspan="2"| Peringkat
! scope="col" rowspan="2" style="width:250px;"| Negara
!scope="col" colspan="2"| IPM
|-
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan peringkat dari tahun sebelumnya</small><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan dari tahun sebelumnya</small><br /><ref name="UNDP2016"/>
|-
|148 || {{increase}} (1) ||style="text-align:left"| {{flag|Swaziland}} || 0,541 || {{steady}}
|-
|149 || {{decrease}} (4) ||style="text-align:left"| {{flag|Suriah}} || 0,536 || {{decrease}} 0,017
|-
|150 || {{steady}} ||style="text-align:left"| {{flag|Angola}} || 0,533 || {{increase}} 0,002
|-
|151 || {{increase}} (1) ||style="text-align:left"| {{flag|Tanzania}} || 0,531 || {{increase}} 0,012
|-
|152 || {{decrease}} (1) ||style="text-align:left"| {{flag|Nigeria}} || 0,527 || {{increase}} 0,002
|-
|153 || {{increase}} (1) ||style="text-align:left"| {{flag|Kamerun}} || 0,518 || {{increase}} 0,004
|-
|154 || {{decrease}} (1) ||style="text-align:left"| {{flag|Papua Nugini}} || 0,516 || {{increase}} 0,001
|-
|154 || {{increase}} (4) ||style="text-align:left"| {{flag|Zimbabwe}} || 0,516 || {{increase}} 0,009
|-
|156 || {{decrease}} (1) ||style="text-align:left"| {{flag|Kepulauan Solomon}} || 0,515 || {{increase}} 0,002
|-
|157 || {{decrease}} (2) ||style="text-align:left"| {{flag|Mauritania}} || 0,513 || {{steady}}
|-
|158 || {{decrease}} (1) ||style="text-align:left"| {{flag|Madagaskar}} ||0,512 || {{increase}} 0,001
|-
|159 || {{increase}} (3) ||style="text-align:left"| {{flag|Rwanda}} || 0,498 || {{increase}} 0,005
|-
|160 || {{steady}} ||style="text-align:left"| {{flag|Komoro}} || 0,497 || {{decrease}} 0,001
|-
|160 || {{increase}} (1) ||style="text-align:left"| {{flag|Lesotho}} || 0,497 || {{increase}} 0,002
|-
|162 || {{increase}} (1) ||style="text-align:left"| {{flag|Senegal}} || 0,494 || {{increase}} 0,003
|-
|163 || {{increase}} (1) ||style="text-align:left"| {{flag|Haiti}} || 0,493 || {{increase}} 0,003
|-
|163 || {{increase}} (2) ||style="text-align:left"| {{flag|Uganda}} || 0,493 || {{increase}} 0,005
|-
|165 || {{steady}} ||style="text-align:left"| {{flag|Sudan}} || 0,490 || {{increase}} 0,002
|-
|166 || {{increase}} (1) ||style="text-align:left"| {{flag|Togo}} || 0,487 || {{increase}} 0,003
|-
|167 || {{increase}} (1) ||style="text-align:left"| {{flag|Benin}} || 0,485 || {{increase}} 0,004
|-
|168 || {{decrease}} (9) ||style="text-align:left"| {{flag|Yaman}} || 0,482 || {{decrease}} 0,017
|}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!scope="col" colspan="2"| Peringkat
! scope="col" rowspan="2" style="width:250px;"| Negara
!scope="col" colspan="2"| IPM
|-
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan peringkat dari tahun sebelumnya</small><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perkiraan 2016 untuk 2015</small><br /><ref name="UNDP2016"/>
! scope="col" style="width:75px;"| <small>Perubahan dari tahun sebelumnya</small><br /><ref name="UNDP2016"/>
|-
|169 || {{steady}} ||style="text-align:left"| {{flag|Afghanistan}} || 0,479 || {{steady}}
|-
|170 || {{steady}} ||style="text-align:left"| {{flag|Malawi}} || 0,476 || {{increase}} 0,003
|-
|171 || {{increase}} (1) ||style="text-align:left"| {{flag|Pantai Gading}} || 0,474 || {{increase}} 0,008
|-
|172 || {{decrease}} (1) ||style="text-align:left"| {{flag|Djibouti}} || 0,473 || {{increase}} 0,003
|-
|173 || {{steady}} ||style="text-align:left"| {{flag|Gambia}} || 0,452 || {{increase}} 0,002
|-
|174 || {{steady}} ||style="text-align:left"| {{flag|Ethiopia}} || 0,448 || {{increase}} 0,007
|-
|175 || {{steady}} ||style="text-align:left"| {{flag|Mali}} || 0,442 || {{increase}} 0,004
|-
|176 || {{increase}} (2) ||style="text-align:left"| {{flag|Republik Demokratik Kongo}} || 0,435 || {{increase}} 0,010
|-
|177 || {{steady}} ||style="text-align:left"| {{flag|Liberia}} || 0,427 || {{steady}}
|-
|178 || {{increase}} (1) ||style="text-align:left"| {{flag|Guinea-Bissau}} || 0,424 || {{increase}} 0,003
|-
|179 || {{increase}} (2) ||style="text-align:left"| {{flag|Eritrea}} || 0,420 || {{increase}} 0,002
|-
|179 || {{decrease}} (3) ||style="text-align:left"| {{flag|Sierra Leone}} || 0,420 || {{decrease}} 0,011
|-
|181 || {{increase}} (1) ||style="text-align:left"| {{flag|Mozambik}} || 0,418 || {{increase}} 0,004
|-
|181 || {{decrease}} (2) ||style="text-align:left"| {{flag|Sudan Selatan}} || 0,418 || {{decrease}} 0,003
|-
|183 || {{decrease}} (1) ||style="text-align:left"| {{flag|Guinea}} || 0,414 || {{steady}}
|-
|184 || {{steady}} ||style="text-align:left"| {{flag|Burundi}} || 0,404 || {{decrease}} 0,002
|-
|185 || {{steady}} ||style="text-align:left"| {{flag|Burkina Faso}} || 0,402 || {{increase}} 0,003
|-
|186 || {{steady}} ||style="text-align:left"| {{flag|Chad}} || 0,396 || {{increase}} 0,002
|-
|187 || {{steady}} ||style="text-align:left"| {{flag|Niger}} || 0,353 || {{increase}} 0,002
|-
|188 || {{steady}} ||style="text-align:left"| {{flag|Afrika Tengah}} || 0,352 || {{increase}} 0,005
|}
{{col-end}}
 
== Laporan 2010 ==
{{main|Laporan Pembangunan Manusia 2010}}Laporan ini diluncurkan pada [[4 November]] [[2010]].<ref>{{Cite web|url=http://www.unaids.org/en/resources/presscentre/featurestories/2010/november/20101105fsundp|title=2010 Human Development Report: 40-year trends analysis shows many countries making gains but some losing ground {{!}} UNAIDS|website=www.unaids.org|access-date=2017-07-22}}</ref><ref>Human Development Report 2010 Complete English
 
http://hdr.undp.org/sites/default/files/reports/270/hdr_2010_en_complete_reprint.pdf
</ref>
* {{Increase}} = meningkat
* {{Steady}} = tetap
* {{Decrease}} = menurun
<!-- * Similar HDI values in the current list do not lead to ranking ties, since the HDI rank is actually determined using HDI values to the sixth decimal point. (It changed on the 2013 report, and know there are ranking ties) -->
{{clear}}
 
=== {{Font color|blue|Pembangunan manusia sangat tinggi}} ===
{{col-begin}}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!Peringkat
!Negara
!IPM
|-
|-
| 1 ||style="text-align:left"| {{flag|Norwegia}} || 0,938
|-
| 2 ||style="text-align:left"| {{flag|Australia}} || 0,937
|-
| 3 ||style="text-align:left"| {{flag|Selandia Baru}} || 0,907
|-
| 4 ||style="text-align:left"| {{flag|Amerika Serikat}} || 0,902
|-
| 5 ||style="text-align:left"| {{flag|Irlandia}} || 0,895
|-
| 6 ||style="text-align:left"| {{flag|Liechtenstein}} || 0,891
|-
| 7 ||style="text-align:left"| {{flag|Belanda}} || 0,890
|-
| 8 ||style="text-align:left"| {{flag|Kanada}} || 0,888
|-
| 9 ||style="text-align:left"| {{flag|Swedia}} || 0,885
|-
| 9 ||style="text-align:left"| {{flag|Jerman}} || 0,885
|-
| 11 ||style="text-align:left"| {{flag|Jepang}} || 0,884
|-
| 12 ||style="text-align:left"| {{flag|Korea Selatan}} || 0,877
|-
| 13 ||style="text-align:left"| {{flag|Swiss}} || 0,874
|-
| 14 ||style="text-align:left"| {{flag|Prancis}} || 0,872
|-
| 14 ||style="text-align:left"| {{flag|Israel}} || 0,872
|-
| 16 ||style="text-align:left"| {{flag|Finlandia}} || 0,871
|-
| 17 ||style="text-align:left"| {{flag|Islandia}} || 0,869
|-
| 18 ||style="text-align:left"| {{flag|Belgia}} || 0,867
|-
| 19 ||style="text-align:left"| {{flag|Denmark}} || 0,866
|-
| 20 ||style="text-align:left"| {{flag|Spanyol}} || 0,863
|-
| 21 ||style="text-align:left"| {{flag|Hong Kong}} || 0,862
|}
{{col-break}}
 
{|class="wikitable" style="text-align:center"
|-
!Peringkat
!Negara
!IPM
|-
| 22 ||style="text-align:left"| {{flag|Yunani}} || 0,855
|-
| 23 ||style="text-align:left"| {{flag|Italia}} || 0,854
|-
| 24 ||style="text-align:left"| {{flag|Luksemburg}} || 0,852
|-
| 25 ||style="text-align:left"| {{flag|Austria}} || 0,851
|-
| 26 ||style="text-align:left"| {{flag|Britania Raya}} || 0,849
|-
| 27 ||style="text-align:left"| {{flag|Singapura}} || 0,846
|-
| 28 ||style="text-align:left"| {{flag|Ceko}} || 0,841
|-
| 29 ||style="text-align:left"| {{flag|Slovenia}} || 0,828
|-
| 30 ||style="text-align:left"| {{flag|Andorra}} || 0,824
|-
| 31 ||style="text-align:left"| {{flag|Slowakia}} || 0,818
|-
| 32 ||style="text-align:left"| {{flag|Uni Emirat Arab}} || 0,815
|-
| 33 ||style="text-align:left"| {{flag|Malta}} || 0,815
|-
| 34 ||style="text-align:left"| {{flag|Estonia}} || 0,812
|-
| 35 ||style="text-align:left"| {{flag|Siprus}} || 0,810
|-
| 36 ||style="text-align:left"| {{flag|Hongaria}} || 0,805
|-
| 36 ||style="text-align:left"| {{flag|Brunei Darussalam}} || 0,805
|-
| 38 ||style="text-align:left"| {{flag|Qatar}} || 0,803
|-
| 38 ||style="text-align:left"| {{flag|Bahrain}} || 0,801
|-
| 40 ||style="text-align:left"| {{flag|Portugal}} || 0,795
|-
| 40 ||style="text-align:left"| {{flag|Polandia}} || 0,795
|-
| 42 ||style="text-align:left"| {{flag|Barbados}} || 0,788
|}
{{col-end}}
 
=== {{Font color|green|Pembangunan manusia tinggi}} ===
{{col-begin}}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!Peringkat
!Negara
!IPM
|-
| 43 ||style="text-align:left"| {{flag|Bahama}} || 0,784
|-
| 44 ||style="text-align:left"| {{flag|Lithuania}} || 0,783
|-
| 44 ||style="text-align:left"| {{flag|Chili}} || 0,783
|-
| 46 ||style="text-align:left"| {{flag|Argentina}} || 0,775
|-
| 47 ||style="text-align:left"| {{flag|Kuwait}} || 0,771
|-
| 48 ||style="text-align:left"| {{flag|Latvia}} || 0,769
|-
| 48 ||style="text-align:left"| {{flag|Montenegro}} || 0,769
|-
| 50 ||style="text-align:left"| {{flag|Romania}} || 0,767
|-
| 50 ||style="text-align:left"| {{flag|Kroasia}} || 0,767
|-
| 52 ||style="text-align:left"| {{flag|Uruguay}} || 0,765
|-
| 53 ||style="text-align:left"| {{flag|Jamahiriya Arab Libya}} || 0,755
|-
| 53 ||style="text-align:left"| {{flag|Panama}} || 0,755
|-
| 55 ||style="text-align:left"| {{flag|Arab Saudi}} || 0,752
|-
| 56 ||style="text-align:left"| {{flag|Meksiko}} || 0,750
|-
| 57 ||style="text-align:left"| {{flag|Malaysia}} || 0,744
|-
| 58 ||style="text-align:left"| {{flag|Bulgaria}} || 0,743
|-
| 59 ||style="text-align:left"| {{flag|Trinidad dan Tobago}} || 0,736
|-
| 60 ||style="text-align:left"| {{flag|Serbia}} || 0,735
|-
| 61 ||style="text-align:left"| {{flag|Belarus}} || 0,732
|-
| 62 ||style="text-align:left"| {{flag|Kosta Rika}} || 0,725
|-
| 63 ||style="text-align:left"| {{flag|Peru}} || 0,723
|}
{{col-break}}
 
{|class="wikitable" style="text-align:center"
|-
!Peringkat
!Negara
!IPM
|-
| 64 ||style="text-align:left"| {{flag|Albania}} || 0,719
|-
| 64 ||style="text-align:left"| {{flag|Rusia}} || 0,719
|-
| 66 ||style="text-align:left"| {{flag|Kazakhstan}} || 0,714
|-
| 67 ||style="text-align:left"| {{flag|Azerbaijan}} || 0,713
|-
| 68 ||style="text-align:left"| {{flag|Bosnia dan Herzegovina}} || 0,710
|-
| 68 ||style="text-align:left"| {{flag|Ukraina}} || 0,710
|-
| 70 ||style="text-align:left"| {{flag|Iran}} || 0,702
|-
| 71 ||style="text-align:left"| {{flag|Makedonia}} || 0,701
|-
| 71 ||style="text-align:left"| {{flag|Mauritius}} || 0,701
|-
| 73 ||style="text-align:left"| {{flag|Brasil}} || 0,699
|-
| 74 ||style="text-align:left"| {{flag|Georgia}} || 0,698
|-
| 75 ||style="text-align:left"| {{flag|Venezuela}} || 0,696
|-
| 76 ||style="text-align:left"| {{flag|Armenia}} || 0,695
|-
| 76 ||style="text-align:left"| {{flag|Ekuador}} || 0,695
|-
| 78 ||style="text-align:left"| {{flag|Belize}} || 0,694
|-
| 79 ||style="text-align:left"| {{flag|Kolombia}} || 0,689
|-
| 80 ||style="text-align:left"| {{flag|Jamaika}} || 0,688
|-
| 81 ||style="text-align:left"| {{flag|Tunisia}} || 0,683
|-
| 82 ||style="text-align:left"| {{flag|Yordania}} || 0,681
|-
| 83 ||style="text-align:left"| {{flag|Turki}} || 0,679
|-
| 84 ||style="text-align:left"| {{flag|Aljazair}} || 0,677
|-
| 84 ||style="text-align:left"| {{flag|Tonga}} || 0,677
|}
{{col-end}}
 
=== {{font color|#fc0|Pembangunan manusia sedang}} ===
{{col-begin}}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!Peringkat
!Negara
!IPM
|-
| 86 ||style="text-align:left"| {{flag|Fiji}} || 0,669
|-
| 86 ||style="text-align:left"| {{flag|Turkmenistan}} || 0,669
|-
| 88 ||style="text-align:left"| {{flag|Republik Dominika}} || 0,663
|-
| 88 ||style="text-align:left"| {{flag|Tiongkok}} || 0,663
|-
| 90 ||style="text-align:left"| {{flag|El Salvador}} || 0,659
|-
| 91 ||style="text-align:left"| {{flag|Sri Lanka}} || 0,658
|-
| 92 ||style="text-align:left"| {{flag|Thailand}} || 0,654
|-
| 93 ||style="text-align:left"| {{flag|Gabon}} || 0,648
|-
| 94 ||style="text-align:left"| {{flag|Suriname}} || 0,646
|-
| 95 ||style="text-align:left"| {{flag|Bolivia}} || 0,643
|-
| 96 ||style="text-align:left"| {{flag|Paraguay}} || 0,640
|-
| 97 ||style="text-align:left"| {{flag|Filipina}} || 0,638
|-
| 98 ||style="text-align:left"| {{flag|Botswana}} || 0,633
|-
|— ||style="text-align:left"| ''[[Dunia]]'' || 0,624
|-
| 99 ||style="text-align:left"| {{flag|Moldova}} || 0,623
|-
| 100 ||style="text-align:left"| {{flag|Mongolia}} || 0,622
|-
|101 ||style="text-align:left"| {{flag|Mesir}} || 0,620
|-
|102 ||style="text-align:left"| {{flag|Uzbekistan}} || 0,617
|-
|103 ||style="text-align:left"| {{flag|Mikronesia}} || 0,614
|-
|104 ||style="text-align:left"| {{flag|Guyana}} || 0,611
|-
|105 ||style="text-align:left"| {{flag|Namibia}} || 0,606
|-
|106 ||style="text-align:left"| {{flag|Honduras}} || 0,604
|}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!Peringkat
!Negara
!IPM
|-
|107 ||style="text-align:left"| {{flag|Maladewa}} || 0,602
|-
|108 ||style="text-align:left"| {{flag|Indonesia}} || 0,600
|-
|109 ||style="text-align:left"| {{flag|Kirgizstan}} || 0,598
|-
|110 ||style="text-align:left"| {{flag|Afrika Selatan}} || 0,597
|-
|111 ||style="text-align:left"| {{flag|Suriah}} || 0,589
|-
|112 ||style="text-align:left"| {{flag|Tajikistan}} || 0,580
|-
|113 ||style="text-align:left"| {{flag|Vietnam}} ||0,572
|-
|114 ||style="text-align:left"| {{flag|Maroko}} || 0,567
|-
|115 ||style="text-align:left"| {{flag|Nikaragua}} || 0,565
|-
|116 ||style="text-align:left"| {{flag|Guatemala}} || 0,560
|-
|117 ||style="text-align:left"| {{flag|Guinea Khatulistiwa}} || 0,538
|-
|118 ||style="text-align:left"| {{flag|Tanjung Verde}} || 0,534
|-
|119 ||style="text-align:left"| {{flag|India}} || 0,519
|-
|120 ||style="text-align:left"| {{flag|Timor Leste}} || 0,502
|-
|121 ||style="text-align:left"| {{flag|Swaziland}} || 0,498
|-
|122 ||style="text-align:left"| {{flag|Laos}}|| 0,497
|-
|123 ||style="text-align:left"| {{flag|Kepulauan Solomon}} || 0,494
|-
|123 ||style="text-align:left"| {{flag|Kamboja}} || 0,494
|-
|125 ||style="text-align:left"| {{flag|Pakistan}} || 0,490
|-
|126 ||style="text-align:left"| {{flag|Kongo}} || 0,489
|-
|127 ||style="text-align:left"| {{flag|Sao Tome dan Principe}} || 0,488
|}
{{col-end}}
 
=== {{Font color|red|Pembangunan manusia rendah}} ===
{{col-begin}}
{{col-break}}
{|class="wikitable" style="text-align:center"
|-
!Peringkat
!Negara
!IPM
|-
|128 ||style="text-align:left"| {{flag|Kenya}} || 0,470
|-
|129 ||style="text-align:left"| {{flag|Bangladesh}} || 0,469
|-
|130 ||style="text-align:left"| {{flag|Ghana}} || 0,467
|-
|131 ||style="text-align:left"| {{flag|Kamerun}} || 0,460
|-
|132 ||style="text-align:left"| {{flag|Myanmar}} || 0,451
|-
|133 ||style="text-align:left"| {{flag|Yaman}} || 0,439
|-
|134 ||style="text-align:left"| {{flag|Benin}} || 0,435
|-
|134 ||style="text-align:left"| {{flag|Madagaskar}} || 0,435
|-
|136 ||style="text-align:left"| {{flag|Mauritania}} || 0,433
|-
|137 ||style="text-align:left"| {{flag|Papua Nugini}} || 0,431
|-
|138 ||style="text-align:left"| {{flag|Nepal}} || 0,428
|-
|138 ||style="text-align:left"| {{flag|Togo}} || 0,428
|-
|138 ||style="text-align:left"| {{flag|Komoro}} || 0,428
|-
|141 ||style="text-align:left"| {{flag|Lesotho}} || 0,427
|-
|142 ||style="text-align:left"| {{flag|Nigeria}} || 0,423
|-
|143 ||style="text-align:left"| {{flag|Uganda}} || 0,422
|-
|144 ||style="text-align:left"| {{flag|Senegal}} || 0,411
|-
|145 ||style="text-align:left"| {{flag|Haiti}} || 0,404
|-
|146 ||style="text-align:left"| {{flag|Angola}} || 0,403
|-
|147 ||style="text-align:left"| {{flag|Djibouti}} || 0,402
|-
|148 ||style="text-align:left"| {{flag|Tanzania}} || 0,398
|-
|149 ||style="text-align:left"| {{flag|Pantai Gading}} || 0,397
|}
{{col-break}}
 
{|class="wikitable" style="text-align:center"
|-
!Peringkat
!Negara
!IPM
|-
|150 ||style="text-align:left"| {{flag|Zambia}} || 0,395
|-
|151 ||style="text-align:left"| {{flag|Gambia}} || 0,390
|-
|152 ||style="text-align:left"| {{flag|Rwanda}} || 0,385
|-
|152 ||style="text-align:left"| {{flag|Malawi}} || 0,385
|-
|154 ||style="text-align:left"| {{flag|Sudan}} || 0,379
|-
|155 ||style="text-align:left"| {{flag|Afghanistan}} || 0,349
|-
|156 ||style="text-align:left"| {{flag|Guinea}} || 0,340
|-
|157 ||style="text-align:left"| {{flag|Ethiopia}} || 0,328
|-
|158 ||style="text-align:left"| {{flag|Sierra Leone}} ||0,317
|-
|159 ||style="text-align:left"| {{flag|Afrika Tengah}} || 0,315
|-
|160 ||style="text-align:left"| {{flag|Mali}} || 0,309
|-
|161 ||style="text-align:left"| {{flag|Burkina Faso}} || 0,305
|-
|162 ||style="text-align:left"| {{flag|Liberia}} || 0,300
|-
|163 ||style="text-align:left"| {{flag|Chad}} || 0,295
|-
|164 ||style="text-align:left"| {{flag|Guinea-Bissau}} || 0,289
|-
|165 ||style="text-align:left"| {{flag|Mozambik}} || 0,284
|-
|166 ||style="text-align:left"| {{flag|Burundi}} || 0,282
|-
|167 ||style="text-align:left"| {{flag|Niger}} || 0,261
|-
|168 ||style="text-align:left"| {{flag|Republik Demokratik Kongo}} || 0,239
|-
|169 ||style="text-align:left"| {{flag|Zimbabwe}} || 0,140
|}
{{col-end}}
 
=== Negara yang IPM-nya tidak dihitung ===
* {{flag|Antigua dan Barbuda}}
* {{flag|Bhutan}}
* {{flag|Dominika}}
* {{flag|Eritrea}}
* {{flag|Grenada}}
* {{flag|Irak}}
* {{flag|Kepulauan Marshall}}
* {{flag|Kiribati}}
* {{flag|Korea Utara}}
* {{flag|Kuba}}
* {{flag|Lebanon}}
* {{flag|Monako}}
* {{flag|Nauru}}
* {{flag|Oman}}
* {{flag|Palau}}
* {{flag|Palestina}}
* {{flag|Saint Kitts dan Nevis}}
* {{flag|Saint Lucia}}
* {{flag|Saint C=Vincent dan Grenadine}}
* {{flag|Samoa}}
* {{flag|San Marino}}
* {{flag|Seychelles}}
* {{flag|Somalia}}
* {{flag|Tuvalu}}
* {{flag|Vanuatu}}
 
== Referensi ==
{{reflist}}
wikipedia ensiklopedia bebas
 
== Lihat pula ==
* [[Indeks pembangunan manusia Indonesia|Indeks Pembangunan Manusia Indonesia]]
* [[Daftar negara menurut Indeks Pembangunan Manusia]]
* [[Daftar provinsi di Indonesia menurut IPM|Daftar provinsi Indonesia menurut Indeks Pembangunan Manusia]]
* [[Freedom House]]
* [[Negara dunia ketiga]]
* [[Negara maju]]
* [[DuniaNegara pertamaberkembang]]
* [[Dunia Pertama]]
* [[Dunia Kedua]]
* [[Dunia Ketiga]]
* [[Negara terbelakang|Dunia keempat]]
* [[Koefisien Gini]]
* [[Gender-relatedKebahagiaan DevelopmentNasional IndexBruto]]
* [[Gender Empowerment Measure]]
* [[Gross national happiness]]
* [[Happy Planet Index]]
* [[Indeks Kemisikinan ManusiaDemokrasi]]
* [[NegaraIndeks terbelakang|DuniaKebebasan keempatPers]]
* [[PhysicalIndeks quality-of-lifePersepsi indexKorupsi]]
* [[DuniaIndeks keduaNegara Gagal]]
* [[Visa Waiver Program]]
* [[Indeks Pembangunan Manusia Indonesia]]
 
== Pranala luar ==
Baris 1.284 ⟶ 293:
* {{en}}{{PDFlink|[http://hdr.undp.org/reports/global/2005/pdf/HDR05_HDI.pdf 2005 UN Human Development Index Report]|1.31&nbsp;[[Mebibyte|MiB]]<!-- application/pdf, 1376150 bytes -->}}
* {{en}}{{PDFlink|[http://hdr.undp.org/docs/statistics/indices/technote_1.pdf Technical note explaining the definition of the HDI]|598&nbsp;[[Kibibyte|KiB]]<!-- application/pdf, 613035 bytes -->}}
* {{en}}[http://www.nationmaster.com/graph-T List of countries by HDI at NationMaster.com] {{Webarchive|url=https://web.archive.org/web/20090305115828/http://nationmaster.com/graph-T |date=2009-03-05 }}
 
{{Indikator Deprivasi}}
[[Kategori:Indeks Pembangunan Manusia| ]]
[[Kategori:Ilmu sosial]]
Diperoleh dari "https://wiki-indonesia.club/wiki/Indeks_Pembangunan_Manusia"