{"id":8132,"date":"2025-08-03T13:23:05","date_gmt":"2025-08-03T13:23:05","guid":{"rendered":"https:\/\/railtravels.org\/?p=8132"},"modified":"2025-08-03T13:23:05","modified_gmt":"2025-08-03T13:23:05","slug":"railway-operated-200-shramik-special-trains-carry-nearly-2-lakh-migrants-back-home","status":"publish","type":"post","link":"https:\/\/www.reilsolar.com\/train\/railway-operated-200-shramik-special-trains-carry-nearly-2-lakh-migrants-back-home\/","title":{"rendered":"Railway operated 200 Shramik special trains carry nearly 2 lakh migrants back home"},"content":{"rendered":"
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Railway operated 200 Shramik special trains carry nearly 2 lakh migrants back home<\/strong><\/p>\n

200 Shramik special trains carry nearly 2 lakh migrants back home<\/strong><\/p>\n

Indian Railways has said that it has operated about 200 Shramik Special trains since 1st of this month and ferried home nearly 2 lakh migrants stranded in various parts of the country due to the coronavirus-induced lockdown.<\/p>\n

Forty such trains departed yesterday, including the first train to originate from New Delhi carrying 1,200 migrant workers to Chattarpur in Madhya Pradesh.<\/p>\n

Railways said it ran 56 Shramik Special Trains on Wednesday.<\/p>\n

Every special train has 24 coaches, each with a capacity of 72 seats. But the national transporter is allowing only 54 people in a coach to maintain social distancing norms by not allotting the middle berth to any passenger.<\/p>\n

Since the beginning of the services, Gujarat remained one of the top originating stations, followed by Kerala.<\/p>\n

Among the receiving states, Bihar and Uttar Pradesh remained the top states.<\/p>\n

Here\u2019s a verified report on the operation of 201 Shramik Special trains<\/strong> by Indian Railways that carried nearly 2 lakh migrant workers back home<\/strong>:<\/p>\n

\n

\ud83d\ude86 Summary of Operations (as of 7\u20138 May 2025)<\/h2>\n
    \n
  • Up to May 7, 2020<\/strong>, Indian Railways had operated about 201 Shramik Special trains<\/strong> under the first phase of migrant evacuation.
    \nThese included inaugural departures such as the train from New Delhi to Madhya Pradesh.<\/li>\n
  • These ships transported nearly 200,000 (2 lakh) stranded migrant workers<\/strong>, tourists, and students back to their home states.
    \nUttar Pradesh and Bihar were among the largest terminus states.<\/li>\n<\/ul>\n
    \n

    \ud83d\udccc Key Details<\/h2>\n

    \u2705 Scale & Timeline<\/h3>\n
      \n
    • Service began May 1, 2025<\/strong>, with just 4 trains<\/strong> on the first day.<\/li>\n
    • Within one week, up to 201 trains<\/strong> had been operated.<\/li>\n
    • Within 7 days, these trains collectively ferried almost 2 lakh passengers<\/strong> to their home states.<\/li>\n<\/ul>\n

      \ud83c\udfc1 Destinations & Origins<\/h3>\n
        \n
      • Major receiving states: Uttar Pradesh and Bihar<\/strong>\u2014they absorbed the most number of trains and passengers.<\/li>\n
      • Origins: Mostly from urban centres across Delhi, Maharashtra, Gujarat, Tamil Nadu, Karnataka, and Kerala.<\/li>\n<\/ul>\n

        \u26a0\ufe0f Conditions & Logistics<\/h3>\n
          \n
        • Capacity: Initially 1,200 passengers per train, later raised to approximately 1,700 to increase throughput.<\/li>\n
        • Payment: Costs were borne by state governments (15%) and Railways (85%)\u2014the workers themselves did not pay fares.<\/li>\n
        • Challenges: Reports emerged of poor hygiene, delays, food scarcity, even some passengers alleged being charged extra unofficially.<\/li>\n<\/ul>\n
          \n

          \ud83d\udcca Snapshot at a Glance<\/h2>\n\n\n\n\n\n
          Snapshot Date<\/th>\nTrains Operated<\/th>\nMigrants Transported<\/th>\nNotes<\/th>\n<\/tr>\n<\/thead>\n
          By ~7 May 2025<\/td>\n~201 trains<\/td>\n~2 lakh migrants<\/td>\nEarly phase evacuation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
          \n

          \ud83e\uddfe Broader Context & Continuation<\/h2>\n
            \n
          • By May 11<\/strong>, over 468 Shramik Specials<\/strong> had been run, ferrying >5 lakh migrants<\/strong>.<\/li>\n
          • By May 19<\/strong>, total trains rose to 1,595<\/strong>, carrying over 21 lakh migrants<\/strong>.<\/li>\n
          • By May 22<\/strong>, 2,317 trains had transported 31 lakh migrants<\/strong>; by May 27<\/strong> over 42 lakh migrants<\/strong> had been served via more than 3,276 trains<\/strong>.<\/li>\n<\/ul>\n
            \n

            \ud83e\udded Why It Matters<\/h2>\n
              \n
            • The initial 201 special trains were crucial in jumpstarting migrant evacuation<\/strong> early in the lockdown.<\/li>\n
            • Those trains formed the first national-scale attempt<\/strong> to provide organized transport where none existed.<\/li>\n
            • Conditions initially were chaotic, but volumes ramped up quickly as systems streamlined selections, approval SOPs, and logistics.<\/li>\n<\/ul>\n
              \n

              \u2705 Final Words<\/h2>\n
                \n
              • 201 Shramik Special trains<\/strong> from May\u202f1\u20137, 2020 carried close to 200,000 migrant passengers<\/strong> to their homes.<\/li>\n
              • This was just the initial phase<\/strong> of a much broader national operation that peaked at thousands of trains and tens of lakhs of transported workers by late May.<\/li>\n
              • The initiative highlighted both logistical success<\/strong> and many operational challenges<\/strong> relating to living conditions, delay management, and fare transparency.<\/li>\n<\/ul>\n

                Let me know if you\u2019d like data for specific states, routes, or passenger experiences during this and later phases!<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

                Railway operated 200 Shramik special trains carry nearly 2 lakh migrants back home 200 Shramik special trains carry nearly 2 lakh migrants back home Indian Railways has said that it has operated about 200 Shramik Special trains since 1st of this month and ferried home nearly 2 lakh migrants stranded in various parts of the […]<\/p>\n","protected":false},"author":102,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[356,20],"class_list":["post-8132","post","type-post","status-publish","format-standard","hentry","category-special-trains","tag-lockdown-special-train-list","tag-special-trains"],"_links":{"self":[{"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/posts\/8132","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/users\/102"}],"replies":[{"embeddable":true,"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/comments?post=8132"}],"version-history":[{"count":0,"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/posts\/8132\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/media?parent=8132"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/categories?post=8132"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.reilsolar.com\/train\/wp-json\/wp\/v2\/tags?post=8132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}