Any progress in the reduction of poverty in South Asia?

UNGIWG BANGKOK 30 NOV 2007

Any progress in the reduction of poverty in South Asia? 1 12

Indicator Unit Area ID, Name Data Value Subgroups Time Period Data Source

MDG 1 Eradicate Extreme Poverty People living on less than one dollar a day % 50 Baseline and target 45 40 35 30? 25 SOUTH ASIA 20 15 10 5 0 1981 1990 2002 2015

What is the HDI trend in Nepal? 2 12

Nepal HDI 1996

Nepal HDI 2001

GLOBAL South Asia GER Girls GER, Girls High High Medium Medium Low Low No data No data

REGIONAL South Asia Nepal GER Girls GER, Girls High High Medium Medium Low Low No data No data

NATIONAL Nepal Far-Western Region Mid-Western Region Western Region GER Girls GER, Girls High High Medium Medium Low Low No data No data Central Region Eastern Region

ZONES Nepal Eco-Development Zones Far-Western Mountain Eco-Zone Mid-Western Mountain Eco-Zone Far-Western Far-Western Hill Region Eco-Zone Mid-Western Region Far-Western Terai Eco-Zone Western Mountain Eco-Zone Mid-Western Hill Eco-Zone Mid-Western Terai Eco-Zone Western Region Western Hill Eco-Zone Central Mountain Eco-Zone Western Terai Eco-Zone GER Girls GER, Girls High High Medium Medium Low Low No data No data Central Eco-Zone CentralHillRegion Central Terai Eco-Zone Eastern Mountain Eco-Zone Eastern Region Eastern Hill Eco-Zone Eastern Terai Eco-Zone

DISTRICTS Nepal - Morang Eastern Mountain Eco-Zone Eastern Hill Eco-Zone Eastern Terai Eco-Zone GER Girls GER, Girls High High Medium Medium Low Low No data No data Morang

SUB-DISTRICTS Nepal Village Development Councils GER Girls GER, Girls High High Medium Medium Low Low No data No data VDC

INFRASTRUCTURE Nepal Schools, Health Posts, Roads Girls per School High, >150 Medium, 75-150 Low, < 75 GER Girls GER, Girls High High Medium Medium Low Low No data No data Health Posts Rivers Roads Schools Note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.

Where should early child care programmes be targeted in Tanzania? 3 12

TANZANIA Early Child Care Composite Index Mara Kagera Mwanza Shinyanga Births attended by trained personnel Arusha Kilimanjaro Kigoma Tanga Tabora Singida Dodoma Northern Region Western Region Southern Region Dar Es Salaam Pwani Rukwa Per cent Mbeya Low Medium High Very high No data Northern Pemb Pemba Morogoro Iringa Lindi Ruvuma Mtwara

TANZANIA Early Child Care Composite Index Mara Kagera Mwanza Shinyanga Births attended by trained personnel Arusha Kilimanjaro Kigoma Tanga Tabora Singida Low birth weight Dodoma Northern Region Western Region Southern Region Dar Es Salaam Pwani Rukwa Per cent Mbeya Low Medium High Very high No data Northern Pemb Pemba Morogoro Iringa Lindi Ruvuma Mtwara

TANZANIA Early Child Care Composite Index Mara Kagera Mwanza Shinyanga Births attended by trained personnel Arusha Kilimanjaro Kigoma Tanga Tabora Low birth weight Underweight Singida Dodoma Northern Region Western Region Southern Region Dar Es Salaam Pwani Rukwa Per cent Mbeya Low Medium High Very high No data Northern Pemb Pemba Morogoro Iringa Lindi Ruvuma Mtwara

TANZANIA Early Child Care Composite Index Mara Kagera Mwanza Shinyanga Births attended by trained personnel Arusha Kilimanjaro Kigoma Tanga Tabora Low birth weight Underweight Diarrhoea cases Singida Dodoma Northern Region Western Region Southern Region Dar Es Salaam Pwani Rukwa Per cent Mbeya Low Medium High Very high No data Northern Pemb Pemba Morogoro Iringa Lindi Ruvuma Mtwara

TANZANIA Early Child Care Composite Index Mara Kagera Mwanza Shinyanga Births attended by trained personnel Arusha Kilimanjaro Kigoma Tanga Tabora Low birth weight Underweight Diarrhoea cases DPT immunization Singida Dodoma Northern Region Western Region Southern Region Dar Es Salaam Pwani Rukwa Per cent Mbeya Very low Low Medium High No data Northern Pemb Pemba Morogoro Iringa Lindi Ruvuma Mtwara

TANZANIA Early Child Care Composite Index Source: TZA_DHS96, Demographic Health Survey, National Bureau of Statistics, Tanzania, 1996 Area Kilimanjaro D'Salaam Pwani Tabora Mara Mbeya Mwanza Ruvuma Lindi Mtwara Arusha Morogoro Shinyanga Dodoma Tanga Kagera Rukwa Singida Iringa Kigoma Births attended Index Diarrhoea cases Index DPT imm Index Low birth weight Index Underweight Index Composite Index 55.9 86.7 51.1 48.7 30.4 44.4 30.9 68.3 47.8 40.5 36.9 44.4 25.7 32.9 25.9 19.6 36.2 34.5 36.8 22.9 0.54 1.00 0.47 0.43 0.16 0.37 0.17 0.73 0.42 0.31 0.26 0.37 0.09 0.20 0.09 0.00 0.25 0.22 0.26 0.05 9.6 10.0 4.7 18.5 11.0 18.7 7.8 7.4 13.0 11.2 14.8 12.9 7.3 14.7 13.5 20.3 22.2 18.2 12.0 25.2 0.76 0.74 1.00 0.33 0.69 0.32 0.85 0.87 0.60 0.68 0.51 0.60 0.87 0.51 0.57 0.24 0.15 0.34 0.64 0.00 100.0 91.3 90.0 94.1 85.0 93.8 73.8 90.3 92.5 92.0 84.5 82.1 64.1 91.3 86.8 92.3 82.4 70.3 94.2 95.1 1.00 0.76 0.72 0.84 0.58 0.83 0.27 0.73 0.79 0.78 0.57 0.50 0.00 0.76 0.63 0.79 0.51 0.17 0.84 0.86 3.2 9.0 4.9 6.7 4.6 5.4 1.9 11.5 5.5 7.6 3.9 8.3 3.5 7.2 5.4 3.4 4.0 3.1 10.1 4.5 0.86 0.26 0.69 0.50 0.72 0.64 1.00 0.00 0.63 0.41 0.79 0.33 0.83 0.45 0.64 0.84 0.78 0.88 0.15 0.73 21.0 22.2 34.3 14.2 18.9 20.8 27.0 29.4 41.4 35.6 35.1 25.5 27.8 34.2 36.2 36.0 30.5 28.4 48.2 43.1 0.80 0.76 0.41 1.00 0.86 0.81 0.62 0.55 0.20 0.37 0.39 0.67 0.60 0.41 0.35 0.36 0.52 0.58 0.00 0.15 0.79 0.70 0.66 0.62 0.60 0.59 0.58 0.58 0.53 0.51 0.50 0.49 0.48 0.47 0.46 0.45 0.44 0.44 0.38 0.36

TANZANIA Early Child Care Composite Index Mara Kagera Mwanza Shinyanga Arusha Kilimanjaro Kigoma Tanga Tabora Singida Dodoma Northern Region Western Region Southern Region Dar Es Salaam Pwani Rukwa Index Very low Low Medium High No data Northern Pemb Pemba Mbeya Morogoro Iringa Lindi Ruvuma Mtwara

What is the trend in under-five mortality in Uganda? 4 12

UGANDA Under-Five Mortality Rate 1969 census Connecting the dots does not work! 1992 IHS (i) 1988 DHS (d) 1995 DHS (i) 1988 DHS (i) 1995 DHS (d) ln(z) = y = bo + b1x + b2f(x,k1) + b3f(x,k2) +... + bnf(x,kn-2) where z is the under-five mortality rate, x is the year, kj is the knot j, b* are the parameters estimated using regression

Where do the most people live in India? 5 12

INDIA Display time series of data in maps

INDIA Population Density 1901

INDIA Population Density 1911

INDIA Population Density 1921

INDIA Population Density 1931

INDIA Population Density 1941

INDIA Population Density 1951

INDIA Population Density 1961

INDIA Population Density 1971

INDIA Population Density 1981

INDIA Population Density 1991

INDIA Population Density 2001

INDIA Zoom-in through levels of data in maps

INDIA Population Density L02 States Zoom-in to state level

Population Density L02 States INDIA

Population Density L03 Districts INDIA Districts of the State of Tamil Nadu

Population Density L04 Sub-districts INDIA Sub- Districts of the State of Tamil Nadu

INDIA 48,594 children

How many children are at risk from a tsunami in southern India? 6 12

INDIA 2,265,000 children

How does DevInfo integrate vector and raster maps? 7 12

Panel with themes, layers, features, insets

Add raster images from satellite maps Add map insets

What is the DevInfo digital map library? 7 12

http://www.devinfo.info/support/digitalmaplibrary

What statistical standards are implemented by DevInfo? 8 12

Indicator SDMX

Area UNSDI

Source DDI / DC Type International dataset Publisher UN Statistics Division Title MDG Data set Year 2006 Observation Country Data

What types of data are stored in DevInfo? 9 12

Census Population census once every decade Surveys Periodic household surveys on various topics Records Administrative records from various government departments Reports Flagship reports by international agencies with detailed analysis of specific development issues

How many countries have adapted DevInfo? 10 12

ChildInfo 1995-2003 UNICEF developed a database to monitor the World Summit for Children offered to the UN system DevInfo v4.0 2004 ChildInfo upgraded and launched with UNDG endorsement in April 2004 UN Endorsement Endorsed by the United Nations to assist Member States in Monitoring human development DevInfo v5.0 2005-2007 New web-enabled version developed and launched with broad government and UN support in May 2006

90 national adaptations + Partnerships with national statistics organizations and UN agencies

What is the UN Data portal? 11 12

DevInfo 2007 activities? 12 12

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