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Development Mirror We simplify complex datasets to bring you facts and unbiased opinions. Website: http://developmentmi
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State Hunger Index (2019-20) exposes significant disparities in hunger severity across the country. Bihar, Jharkhand, an...
05/09/2023

State Hunger Index (2019-20) exposes significant disparities in hunger severity across the country. Bihar, Jharkhand, and Chhattisgarh exhibit the highest scores of 35, placing them in the ‘Alarming’ category. Following closely are Gujarat, Uttar Pradesh, Assam, Odisha, Madhya Pradesh, Tripura, and Maharashtra, all reporting scores above the national average (29.7) and falling under 'serious hunger' category. The performance of these states resembles that of African nations like Haiti, Niger, Liberia, and Sierra Leone.

On the other hand, Chandigarh records the lowest score of 12, with Sikkim, Puducherry, and Kerala closely behind, all scoring below 16. These states, along with Manipur, Mizoram, Punjab, Delhi, Arunachal Pradesh, Andaman Nicobar, and Tamil Nadu, fall under the ‘Moderate’ hunger category. All other states are categorized as ‘Serious’, reporting scores below the national average and above 20. None of the states secured a rank under the ‘Low’ hunger category.

The latest data on per capita values of agriculture, forestry, and fishing production for the year 2020-21 paints an int...
21/05/2023

The latest data on per capita values of agriculture, forestry, and fishing production for the year 2020-21 paints an intriguing picture of the economic landscape in India's states and union territories. Arunachal Pradesh claims the top spot with an impressive per capita value of 88,438 rupees, followed by Andhra Pradesh at 71,006 rupees. On the other end of the spectrum, Delhi reports the lowest per capita value at 1,699 rupees, while among states Bihar and Jharkhand stand at 15,202 and 18,985 rupees, respectively. These figures highlight the stark disparities in agricultural output and economic prosperity among different regions in the country, underlining the need for targeted development and growth initiatives in the agriculture sector.

As of May 2023, the share of female Members of Legislative Assembly (MLAs) in the state assemblies of India stands at 8....
15/05/2023

As of May 2023, the share of female Members of Legislative Assembly (MLAs) in the state assemblies of India stands at 8.9 percent. Mizoram has the null share of female MLAs, followed by Himachal Pradesh and Nagaland with 1.5% and 3.3% respectively. The states with the highest share of female MLAs include Tripura with 15.0%, Chhattisgarh with 14.4%, and West Bengal with 13.6%.

Interestingly, this data reflects the paradox of the South-North divide, where states in the northern region tend to have higher female participation, while the southern states struggle to bridge the political gender gap.

Map: Nandlal Mishra of Development Mirror

NFHS-5 (2019-21) data reveals that a significant proportion of India's poorest households are being deprived of a Below ...
03/04/2023

NFHS-5 (2019-21) data reveals that a significant proportion of India's poorest households are being deprived of a Below Poverty Line (BPL) card. According to the data, 50.5% of households without access to electricity, 48.1% without a mobile phone, 44.9% without any toilet facility, 40.9% without a semi-pucca/pucca house, and 38.8% without any vehicle including bicycle, do not have a BPL card. This indicates a pressing need for increased efforts to ensure universal access to BPL cards among the poorest communities in India.

Based on data from NFHS-5 (2019-21), a significant proportion of BPL households in India own certain appliances: 24.8% h...
31/03/2023

Based on data from NFHS-5 (2019-21), a significant proportion of BPL households in India own certain appliances: 24.8% have a refrigerator, 15.2% have an AC or cooler, 8.2% have a washing machine, 3.9% have a computer, and 2.8% have a car/truck.

This information raises questions about the legitimacy of some BPL cards, or it suggests that some BPL households have experienced notable improvements in their standard of living. What do you think?

The NFHS-5 data has revealed that a 72.9 percent of individuals aged between 15 to 49 in India have access to a bank acc...
30/03/2023

The NFHS-5 data has revealed that a 72.9 percent of individuals aged between 15 to 49 in India have access to a bank account, an Aadhaar card, and a mobile phone owned by their household . This is in line with the government's Jan Dhan-Aadhaar-Mobile (JAM) initiative, which is aimed at facilitating financial inclusion and digital literacy in the country.

The highest percentages of JAM adoption were recorded in Puducherry and Tamil Nadu, with figures of 91.7% and 88.6% respectively. Meanwhile, Assam reported the lowest percentage at 15.0%. Interestingly, Meghalaya and Nagaland have reported adoption rates of 30.3% and 63.7% respectively.

The data highlights the significance of the JAM trinity in availing benefits from social security schemes in India. The government's efforts towards building a digitally inclusive society have resulted in increased financial inclusion and digital literacy, as evidenced by the high adoption rates of JAM in most states and UTs. However, there is still a need for concerted efforts to be made towards achieving universal JAM access in the country.

Only 19% population (18+) in Assam has an Aadhaar Card. Among other States & UTs, except for Meghalaya (46%), this figur...
29/03/2023

Only 19% population (18+) in Assam has an Aadhaar Card. Among other States & UTs, except for Meghalaya (46%), this figure ranges between 96% to 99%. Around 96.7% Indians (18+) own an Aadhaar Card.

Source: NFHS-5 (2019-21)

Only 19.3% 18+population has an Adhar Card in Assam. Source: NFHS-5 (2019-21)
29/03/2023

Only 19.3% 18+population has an Adhar Card in Assam.

Source: NFHS-5 (2019-21)

The State HDI is calculated using four indicators: life expectancy at birth, mean years of schooling, expected years of ...
21/03/2023

The State HDI is calculated using four indicators: life expectancy at birth, mean years of schooling, expected years of schooling, and gross national income (GNI) per capita. Life expectancy estimates are taken from the Sample Registration System, and mean and expected years of schooling are extracted from National Family Health Survey-5. Since estimates for GNI per capita are unavailable at the subnational level, gross state domestic product (GSDP) per capita is used as a proxy indicator to measure the standard of living. GSDP (PPP at constant prices 2011-12) is gathered from the Reserve Bank of India’s Handbook of Statistics on Indian States. GSDP per capita is estimated using the population projection provided by the Registrar General of India’s office. The methodology involves calculating the geometric mean of the normalised indices for the three dimensions of human development while applying the maximum and minimum values recommended by the UNDP and NSO. HDI scores range from 0 to 1, with higher values indicating higher levels of human development.

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