Top Tweets for #GlobalMPI2018
OPHI Working Paper 121, by Sabina Alkire & Selim Jahan @selimjahan1951, explains how the #GlobalMPI2018 was adjusted to align with the #SDGs: https://t.co/1nsl8Wm0gD #SDG1 #MultidimensionalPovertyIndex #MPI4SDGS
Defining the child nutrition & child mortality indicators were important debates during the revision of the #GlobalMPI2018 launched by @UNDP and OPHI. OPHI Research Officer Usha Kanagaratnam discusses: https://t.co/uJg23rhEFO #childpoverty #MultidimensionalPovertyIndex #MPI4SDGs
Sir Angus Deaton @DeatonAngus remarks on the #GlobalMPI2018: #multidimensionalpoverty measures versus dashboard measures, #povertyreduction in #India, methodology, & #poverty in rich countries like the US: https://t.co/pMP2x2Is1d
Did you know? According to findings from the #GlobalMPI2018, 90% of all #children are MPI poor in #SouthSudan and #Niger. Learn more at: https://t.co/VqsIv4zy8Y #multidimensionalpoverty #MultidimensionalPovertyIndex #childpoverty
A new edition of Dimensions is out! The issue features an interview with @JuanManSantos, a special section on the #GlobalMPI2018, and articles by Sir Angus Deaton, #multidimensionalpoverty in #Germany, and key aspects to tackle #poverty by @JohnCHammock: https://t.co/wMNDrOnMxu
On 26 March, OPHI Director Sabina Alkire will present “#MultidimensionalPoverty Measurement: Methodology & Case Study - #GlobalMPI2018” at the Lebanese American University in #Beirut, followed by a panel discussion by Dr. Khalid Abu-Ismail & Dr. Bilal Al-Kiswani of @UNESCWA.
Here you can browse #GlobalMPI2018 data at the national level and on the Urban/Rural level where disaggregations are available: https://t.co/37gwhgU4DP #povertydata #SDGdata #SDG1
Aquí se puede encontrar los resultados específicos del #GlobalMPI2018 para 105 países. El perfil de cada país incluye comparaciones del #IPM con otras medidas de #pobreza y desagregaciones por indicadores de deprivación y áreas urbanas/rurales: https://t.co/ekyAThQxUU
Here you can find results from the #GlobalMPI2018 for 105 countries. Each country profile includes comparisons of the #MPI with other #poverty measures and breakdowns by deprivation indicators & urban/rural areas: https://t.co/ekyAThQxUU #MultidimensionalPovertyIndex
Did you know? Using our interactive databank, you can search for MPI, headcount #poverty, poverty intensity data for your country. Check it out at: https://t.co/bbLHOsb6o3. #povertydata #openaccess #GlobalMPI2018
You've seen some of the key findings...Now you can access the FULL REPORT from the 2018 global Multidimensional Poverty Index (MPI)! https://t.co/jkcdmMN152 #GlobalMPI2018 #OPHI #UNDP #SDGs #MPI4SDGs #multidimensionalpoverty #povertymeasurement #povertydata #globalpoverty
The best features of the original MPI launched in 2010 and an innovative MPI launched in 2014 were subsumed in the #GlobalMPI2018, which also reflects new data possibilities to better align the #GlobalMPI with the #SDGs: https://t.co/dWZr8MTp8r #MPI4SDGs
Check out our new tools to visualize data of the #GlobalMPI2018. You can browse through the world map to view national, urban or rural level poverty data at the country & sub-national levels: https://t.co/JPe902gD3K #povertydata #globalpoverty #SDG1
This article by Ajit Kumar Jha @ajitarticle dissects #poverty & growth trends in #Bihar, #India, a state with relatively high #multidimensionalpoverty according to the #GlobalMPI2018: https://t.co/zH1v1p30OX via @IndiaToday
Although #Tajikistan & #Peru have similar MPI levels, they differ markedly in the composition of their #poverty. More findings from the #GlobalMPI2018 at: https://t.co/rGqDxUOLae #MultidimensionalPovertyIndex #MPI4SDGs
Here you can find #GlobalMPI2018 data tables: #poverty across countries, according to different cutoffs, in rural-urban areas, at sub-national levels, & MPI estimations since 2010: https://t.co/RRh8eEiQTI
6th Int'l Conference on Poverty Reduction & Early Child Development was held in #Beijing, Nov 5-6. The #GlobalMPI2018 shows that more than half of all children under 18 live in extreme or moderate poverty in emerging & developing countries: https://t.co/3iSzDnCvwE #childpoverty
Europe & Central Asia is home to 3.5 million multidimensionally poor people. The poorest country in the region is #Tajikistan. Learn more about the results of the #GlobalMPI2018 here: https://t.co/b0mogIBLva #MultidimensionalPovertyIndex #MPI4SDGs
This video explains why #poverty is expensive from the perspective of the global #MultidimensionalPovertyIndex: https://t.co/1byzLOBPZz #MPI4SDGs #GlobalMPI2018
In the #ArabStates, 66 million people are poor, and #education contributes more to #multidimensionalpoverty. 70% of MPI poor people in the Arab States live in #Sudan, #Yemen & #Somalia. More results from the #GlobalMPI2018 at: https://t.co/Z2IN4fxxsM #MultidimensionalPovertyIndex
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