Women currently make up around half of the world’s migrant population, even without taking into consideration short-term and seasonal movements. Despite the widespread prevalence of female migration, there are still some common stereotypes about its nature: that it is mostly women and girls accompanying their male heads of household, or dominantly by young, unmarried women, mostly for marriage or for some defined work enabled by contractors. Yet the migration of...
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Key Facts
Output and Growth According to the [inside]Economic Survey 2017-18, Volume-2[/inside] (please click here to access): • The growth rates of agriculture & allied sectors have been fluctuating at 1.5 per cent in 2012-13, 5.6 per cent in 2013-14, (-) 0.2 per cent in 2014-15, 0.7 per cent in 2015-16 and 4.9 per cent in 2016-17. • The Gross Capital Formation (GCF) in Agriculture and Allied Sectors relative to Gross Value Added (GVA) in...
More »Hunger Overview
KEY TRENDS • As per the 2019 Global Hunger Index report, neighbouring countries such as China (GHI score: 6.5; GHI rank: 25), Sri Lanka (GHI score: 17.1; GHI rank: 66), Myanmar (GHI score: 19.8; GHI rank: 69), Nepal (GHI score: 20.8; GHI rank: 73), Bangladesh (GHI score: 25.8; GHI rank: 88) and Pakistan (GHI score: 28.5; GHI rank: 94) have outperformed India (GHI score: 30.3; GHI rank: 102) *13 • As per the 2018 Global Hunger Index report,...
More »Right to Work (MG-NREGA)
KEY TRENDS • The proportion of households which completed 100 days of wage employment under MGNREGA in total households that worked was 6.02 percent in 2014-15, 10.07 percent in 2015-16, 7.79 percent in 2016-17 and 5.78 percent in 2017-18 @$ • Completed works as a proportion of total works was 30.15 percent in 2014-15, 29.39 percent in 2015-16, 40.27 percent in 2016-17, 32.01 percent in 2017-18 and 3.3 percent in 2018-19 (as on 7th May, 2018) @$ • In...
More »Rural distress
KEY TRENDS • The report entitled Pradhan Mantri Fasal Bima Yojana: An Assessment from the Centre for Science and Environment (released on 21 July, 2017) finds that PMBY is not beneficial for farmers in vulnerable regions. For farmers in vulnerable regions such as Bundelkhand and Marathwada, factors like low indemnity levels, low threshold yields, low sum insured and default on loans make PMFBY a poor scheme to safeguard against extreme weather events. CSE's...
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