[1/n]. More than half of #Bihar's (52.5%) population was #MultidimensionallyPoor in 2015-16. #MultidimensionalHeadcountRatio of the state was 77.4% in 2005-06.

URLs: bit.ly/34y6tut ,
bit.ly/31PtebD ,
bit.ly/34z0bed ,
bit.ly/2Tw16FQ
[2/n]. Among the states/UTs, #Bihar has the higher #MultidimensionalPovertyIndex (i.e. 0.248). It was 0.449 in 2005-06, highest among the states/UTs.

URLs: bit.ly/34y6tut ,
bit.ly/31PtebD ,
bit.ly/34z0bed ,
bit.ly/2Tw16FQ @the_hindu
[3/n]. The total number of #MultidimensionalPoor in Bihar was 61.8 million in 2015-16. It was 71.3 million in 2005-06.

URLs: bit.ly/34y6tut ,
bit.ly/31PtebD ,
bit.ly/34z0bed ,
bit.ly/2Tw16FQ
[4/n]. Top 5 states/ UTs in terms of %age of people affected by non-monetary poverty in 2015-16 are #Bihar (52.5%), #Jharkhand (46.5%), #MadhyaPradesh (41.1%), #UttarPradesh (40.8%) & #Chhattisgarh (36.8%).
[5/n]. In 2015-16, top 5 states/ UTs in terms of no. of people affected by #multidimensionalpoverty are #UttarPradesh (84.7 million), #Bihar (61.8 ml), #MadhyaPradesh (35.6 ml), #WestBengal (26.2 ml) & #Rajasthan (23.6 ml).
URLs: bit.ly/34y6tut ,
bit.ly/2Tw16FQ
[6/n]. In absolute terms, d highest drop in the no. of people affected by #multidimensionalpoverty between 2005-06 & 2015-16 has been noted for #UttarPradesh (nearly 46 million), followed by #AndhraPradesh (27.5 m), #WestBengal (27.2 m), #Maharashtra (21.2 m) and #Karnataka (20m)
[7/n]. In 2015-16, the top five states/ UTs in terms of #MultidimensionalPovertyIndex are #Bihar (MPI=0.248), #Jharkhand (MPI=0.208), #UttarPradesh (MPI= 0.183), #MadhyaPradesh (MPI= 0.182), and #Assam (MPI=0.162).

URLs: bit.ly/34y6tut ,
bit.ly/2Tw16FQ

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More from @IM4ChangeIndia

21 Sep
[1/n]. Almost 74.3% of #SouthAsia's #undernourished people resided in #India during 2017-19 as opposed to 78.4% in 2004-06.

URLs: bit.ly/3mAzddc ;
bit.ly/2ZSF2cb ;
bit.ly/3kvIRvD ;
bit.ly/2FRnciI ;
bit.ly/2H9gsx6.

#SOFI2020Report
[2/n]. Prevalence of #SevereFoodInsecurity in the country was 15.5% in 2014-16 that climbed up to reach 17.3% in 2017-19.

URLs: bit.ly/3mAzddc ;
bit.ly/2ZSF2cb ;
bit.ly/3kvIRvD ;
bit.ly/2FRnciI ;
bit.ly/2H9gsx6.

#SOFI2020Report
[3/n]. Nearly 76% of #SouthAsia's #SeverelyFoodInsecure people lived in #India during 2014-16 as opposed to 77.3% in 2017-19.

URLs: bit.ly/3mAzddc ;
bit.ly/2ZSF2cb ;
bit.ly/3kvIRvD ;
bit.ly/2FRnciI ;
bit.ly/2H9gsx6.

#SOFI2020Report
Read 11 tweets
7 Aug
[1/n]. Kerala (43) had the lowest and Assam had the highest (215) #MaternalMortalityRatio vis-à-vis other states/ UTs during 2016-18

URLs: bit.ly/3fxSO8Z
bit.ly/33IwKWS

#InstitutionalDeliveries
#FemaleNutrition
#Pregnancy
#SDGs
[2/n]. India's #MaternalMortalityRatio during 2016-18 was 113 maternal deaths per one lakh live births

URLs: bit.ly/3fxSO8Z
bit.ly/33IwKWS

#NationalHealthPolicy2017
#SampleRegistrationSystem
[3/n]. #Kerala (2.1) had the lowest and #UttarPradesh (17.8) had the highest #MaternalMortalityRate vis-à-vis other states/ UTs during 2016-18

URLs: bit.ly/3fxSO8Z
bit.ly/33IwKWS

#MaternalDeaths
#SDGs
#SustainableDevelopmentGoals
Read 4 tweets
27 Jun
[1/n]. #WorkerPopulationRatio according to usual status (ps+ss) among urban males (age group 15-59 years) fell from 74.2% in 2017-18 to 73.7% in 2018-19 i.e. a decline by 0.5 %age points.
[2/n]. In other words, it means #ProportionUnemployed went up from 25.8% to 26.3% between those two years for urban males.
[3/n]. Overall #WPR for age group 15-59 years according to #usualstatus (ps+ss) was 50.3% in 2018-19 -- 75.1% for males and 25.0% for females. In 2017-18, overall WPR was 49.5% -- 74.9% for males and 23.8% for females. #PLFS
Read 5 tweets
25 Mar
[1/n]. State-wise status of #COVID19 outbreak as on 25th Mar, 2020 (till 9.15 am). Source: @MoHFW_INDIA mohfw.gov.in. @nytimes @the_hindu @WHOSEARO @kafila @scroll_in @ravishndtv
[2/n]. Most confirmed #coronavirus cases among Indians in Andhra (9), Delhi (30), Gujarat (32), Haryana (14), Karnataka (41), Kerala (101), M.Pradesh (9), Maharashtra (98), Punjab (29), Rajasthan (30), T.Nadu (16), Telangana (25), Ladakh (13), U.Pradesh (34) and W.Bengal (9).
[3/n]. Most confirmed #SARSCoV2 cases among foreigners reported in Haryana (14), Kerala (8) and Telangana (10). @AFP @bsindia @IndiaToday @ThePrintHindi @firstpost @ttindia @jsa_india @swarajexpresstv
Read 9 tweets
23 Mar
[1/n]. A total of 18,383 samples from 17,493 individuals have been tested by #ICMR for #SARSCoV2 as on 23rd March. 2020 10:00 AM IST. A total of 415 individuals have been confirmed positive among suspected cases and contacts of known positive cases. @AltNews @newsclickin
[2/n]. It means infection rate of 2.37 percent among the sampled individuals. URL is icmr.nic.in/sites/default/… #COVID19 #Coronavirus @ICMRDELHI @icmr_nims @newslaundry
[3/n]. Under the sentinel surveillance of @NICPR_Noida @ICMRDELHI, till date,a total of 826 samples of people suffering from severe acute respiratory infection (SARI)/ influenza like illnesses have been tested at d sites. @scroll_in @ftindianews @ReutersIndia @WHOSEARO @qzindia
Read 4 tweets
22 Mar
[1/n]. State-wise status of #COVID19 outbreak as on 22nd March, 2020 (till 6.30 pm). Source: @MoHFW_INDIA mohfw.gov.in.

@businessline @the_hindu @Shambhug @swarajexpresstv @MahilaKisan
[2/n]. Most confirmed cases among Indian citizens reported in Delhi (28), Gujarat (18), Karnataka (26), Kerala (45), Maharashtra (64), Punjab (21), Rajasthan (22) and Uttar Pradesh (26).

#COVID19 #SARSCoV2 @KiranBissa @dwatchnews @newslaundry
[3/n]. In total 360 confirmed cases -- 319 among Indians and 41 among foreigners as on 22nd March, 2020 (till 6.30 pm). Please note that the total no. of confirmed was 324 cases -- 283 among Indians and 41 among foreigners as on 22nd Mar, 2020 (till 9.45 am). #COVID19 @NGeografic
Read 6 tweets

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