SlideShare a Scribd company logo
1 of 2
Download to read offline
Table No.7/ ŸÖŒŸÖÖ Îú´ÖÖӍú 7
 Districtwise Total Tribal Population in Tribal Sub-Plan Area (T.S.P. Area ) and Outside Tribal Sub-Plan Area
                            (O.T.S.P. Area) as per 2001 Census. (Provisional Figures)
          2001 “µÖÖ •Ö−Ö÷֝Ö−Öê−ÖãÃÖÖ¸ü וֻÆüÖ×−ÖÆüÖµÖ †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ Öê¡ÖÖŸÖᯙ ¾Ö Öê¡ÖÖ²ÖÖÆêü¸üᯙ ‹æúÖ †Öפü¾ÖÖÃÖß »ÖÖêúÃÖӏµÖÖ
                                                      (Population in Lakh »ÖÖêúÃÖӏµÖÖ »Ö֏ÖÖŸÖ)
                                   Scheduled Tribes Population in 2001/2001 ´Ö¬Öᯙ †Öפü¾ÖÖÃÖß »ÖÖêúÃÖӏµÖÖ
        Tribal Sub Plan Area (T.S.P. Scheduled Area +       Outside Tribal Sub-Plan Area including M.A.D.A. and Mini
                        A.T.S.P.area.                                               M.A.D.A. Pockets.
  †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ Öê¡Ö (†Ö.ˆ.µÖÖê.ÃÖæ×“ÖŸÖ Öê¡Ö+†×ŸÖ.†Ö.ˆ.µÖÖê.Öê¡Ö)               †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ ²ÖÖÆüµÖ Öê¡Ö (´ÖÖ›üÖ ¾Ö ×´Ö−Öß´ÖÖ›üÖ ¯ÖÖòêú™üÃÖ ¬Ö¹ý−Ö)
                            Percentage with                                                                                Percentage with
                              ™üŒêú¾ÖÖ¸üß“Öß ŸÖã»Ö−ÖÖ                                                                   ™üŒêú¾ÖÖ¸üß“Öß ŸÖã»Ö−ÖÖ
Sr.             District                Tribal            ¸üÖ•µÖÖŸÖᯙ      †Ö.ˆ.µÖÖê.Öê¡Ö †Ö.ˆ.µÖÖê. ¸üúÖ−ÖÖ 6 ´Ö¬Öᯙ ¸üúÖ−ÖÖ 6 ´Ö¬Öᯙ                             וֻÆüÖ
No.                                    Popula-               ‹æúÖ          ¾Ö †.†Ö.µÖÖê.       ²ÖÖÆüµÖ    »ÖÖêúÃÖӏµÖê¿Öß          »ÖÖêúÃÖӏµÖê“Öß
 †.                                      tion            85.77 »ÖÖÖ            Öê¡ÖÖŸÖᯙ  Öê¡ÖÖŸÖᯙ ¾Ö      ‹æúÖ               וֻÆüµÖÖŸÖß»Ö
 Îú.                                  †Öפü¾ÖÖÃÖß        †Öפü¾ÖÖÃÖß       ‹æúÖ 39.38       ´ÖÖ›üÖ ¾Ö     †Öפü¾ÖÖÃÖß               †Öפü¾ÖÖÃÖß
                                       »ÖÖêúÃÖӏµÖÖ     »ÖÖêúÃÖӏµÖê“Öß
                                                                                  »ÖÖÖ       ×´Ö−Öß´ÖÖ›üÖ  »ÖÖêúÃÖӏµÖê“Öß          »ÖÖêúÃÖӏµÖê¿Öß
                                                           ™üŒêú¾ÖÖ¸üß
                                                                            »ÖÖêúÃÖӏµÖê“Öß Öê¡ÖÖŸÖᯙ     ™üŒêú¾ÖÖ¸üß               ™üŒêú¾ÖÖ¸üß
                                                                                             †Öפü¾ÖÖÃÖß
                                                                              ¸üúÖ−ÖÖ Îú.3
                                                                                             »ÖÖêúÃÖӏµÖÖ
                                                                            ¿Öß ™üŒêú¾ÖÖ¸üß
 1                  2                       3                  4                   5               6                   7                        8                         2
  Maharashtra State                      39.38              45.91             100.00            46.39              54.09                   100.00               ´ÖÆüÖ¸üÖ™Òü ¸üÖ•µÖ
        Kokan Division
1.         Mumbai                            -                  -                  -             0.21                0.24                     0.45              ´ÖÓã²Ö‡Ô
2.         Mumbai Sub.                       -                  -                  -             0.71                0.83                     1.53              ´ÖÓã²Ö‡Ô ˆ¯Ö−Ö÷Ö¸ü
3.         Thane                          9.52              11.1o              24.18             2.48                2.89                     5.35              šü֝Öê
4.         Raigad                         0.19               0.22               0.48             2.50                2.92                     5.39              ¸üÖµÖ÷Ö›ü
5.         Ratanagiri                        -                  -                  -             0.20                0.23                     0.43              ¸üŸ−ÖÖ×÷Ö¸üß
6.         Sindudurg                         -                  -                  -             0.05                0.06                     0.11              ØÃÖ¬Öã¤ãü÷ÖÔ
Total Kokan Division                      9.71              11.32              24.66             6.15                7.17                    13.26                  ‹æúÖ úÖêúÖ
                                                                                                                                                                          ×¾Ö³ÖÖ÷Ö
7.         Nashik                         6.99               8.15              17.75             4.96                5.78                    10.69              −ÖÖ׿֍ú
8.         Dhule                          2.13               2.48               5.41             2.30                2.68                     4.96              ¬Öãôêû
9.         Nandurbar                      7.86               9.17              19.96             0.73                0.85                     1.57              −ÖÓ¤æü¸ü²ÖÖ¸ü
10.        Jaigaon                        0.41               0.48               1.04             3.95                4.61                     8.51              •Öôû÷ÖÖÓ¾Ö
11.        Ahmandnagar                    0.87               1.01               2.21             2.17                2.53                     4.68              †Æü´Ö¤ü−Ö÷Ö¸ü
Total Nashik Division                    18.26              21.29              46.37            14.11               16.45                    30.41                  ‹æúÖ −ÖÖ׿֍ú
                                                                                                                                                                          ×¾Ö³ÖÖ÷Ö
12.        Pune                           0.82               0.96               2.08             1.80                2.10                     3.88              ¯ÖãÖê
13.        Satara                            -                  -                  -             0.22                0.26                     0.47              ÃÖÖŸÖÖ¸üÖ
14.        Sangli                            -                  -                  -             0.18                0.21                     0.39              ÃÖÖÓ÷Ö»Öß
15.        Solapur                           -                  -                  -             0.69                0.80                     1.49              ÃÖÖê»ÖÖ¯Öæ¸ü
16.        Kolhapur                          -                  -                  -             0.21                0.25                     0.45              úÖê»ÆüÖ¯Öæ¸ü
 Total Pune Division                      0.82               0.96               2.08             3.10                3.62                     6.68                     ‹æúÖ ¯ÖãÖê
                                                                                                                                                                          ×¾Ö³ÖÖ÷Ö
Scheduled Tribes Population in 2001/2001 ´Ö¬Öᯙ †Öפü¾ÖÖÃÖß »ÖÖêúÃÖӏµÖÖ
        Tribal Sub Plan Area (T.S.P. Scheduled Area +       Outside Tribal Sub-Plan Area including M.A.D.A. and Mini
                        A.T.S.P.area.                                              M.A.D.A. Pockets.
  †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ Öê¡Ö (†Ö.ˆ.µÖÖê.ÃÖæ×“ÖŸÖ Öê¡Ö+†×ŸÖ.†Ö.ˆ.µÖÖê.Öê¡Ö)               †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ ²ÖÖÆüµÖ Öê¡Ö (´ÖÖ›üÖ ¾Ö ×´Ö−Öß´ÖÖ›üÖ ¯ÖÖòêú™üÃÖ ¬Ö¹ý−Ö)
                            Percentage with                                                                               Percentage with
                              ™üŒêú¾ÖÖ¸üß“Öß ŸÖã»Ö−ÖÖ                                                                   ™üŒêú¾ÖÖ¸üß“Öß ŸÖã»Ö−ÖÖ
Sr.            District                 Tribal            ¸üÖ•µÖÖŸÖᯙ      †Ö.ˆ.µÖÖê.Öê¡Ö †Ö.ˆ.µÖÖê. ¸üúÖ−ÖÖ 6 ´Ö¬Öᯙ ¸üúÖ−ÖÖ 6 ´Ö¬Öᯙ                             וֻÆüÖ
No.                                    Popula-               ‹æúÖ          ¾Ö †.†Ö.µÖÖê.       ²ÖÖÆüµÖ    »ÖÖêúÃÖӏµÖê¿Öß          »ÖÖêúÃÖӏµÖê“Öß
 †.                                      tion            85.77 »ÖÖÖ            Öê¡ÖÖŸÖᯙ  Öê¡ÖÖŸÖᯙ ¾Ö      ‹æúÖ               וֻÆüµÖÖŸÖß»Ö
 Îú.                                  †Öפü¾ÖÖÃÖß        †Öפü¾ÖÖÃÖß       ‹æúÖ 39.38       ´ÖÖ›üÖ ¾Ö     †Öפü¾ÖÖÃÖß               †Öפü¾ÖÖÃÖß
                                       »ÖÖêúÃÖӏµÖÖ     »ÖÖêúÃÖӏµÖê“Öß                     ×´Ö−Öß´ÖÖ›üÖ  »ÖÖêúÃÖӏµÖê“Öß          »ÖÖêúÃÖӏµÖê¿Öß
                                                                                  »Ö֏Ö
                                                           ™üŒêú¾ÖÖ¸üß
                                                                            »ÖÖêúÃÖӏµÖê“Öß Öê¡ÖÖŸÖᯙ     ™üŒêú¾ÖÖ¸üß               ™üŒêú¾ÖÖ¸üß
                                                                                             †Öפü¾ÖÖÃÖß
                                                                              ¸üúÖ−ÖÖ Îú.3
                                                                                             »ÖÖêúÃÖӏµÖÖ
                                                                            ¿Öß ™üŒêú¾ÖÖ¸üß
 1              2                           3                  4                   5              6                  7                         8
17.       Aurgangabad                       -                  -                   -             1.00               1.16                     2.16 †Öî¸Óü÷ÖÖ²ÖÖ¤ü
18.     Jalna                       -             -                  -                 0.32              0.37                    0.69             •ÖÖ»Ö−ÖÖ
19.     Parbhani                    -             -                  -                 0.35              0.41                    0.75             ¯Ö¸ü³ÖÖß
20.     Hingoli                     -             -                  -                 0.87              1.01                    1.88             ØÆü÷ÖÖê»Öß
21.     Beed                        -             -                  -                 0.24              0.28                    0.52             ²Öß›ü
22.     Nanded                    0.50          0.58               1.27                2.04              2.38                    4.40             −ÖÖÓ¤êü›ü
23.     Osmanabad                   -             -                  -                 0.28              0.33                    0.60             ˆÃ´ÖÖ−ÖÖ²ÖÖ¤ü
24.     Latur                       -             -                  -                 0.48              0.56                    1.03             »ÖÖŸÖæ¸ü
   Total Auranganad               0.50          0.58               1.27                5.58              6.50                   12.03              ‹æúÖ †Öî¸Óü÷ÖÖ²ÖÖ¤ü
        Division                                                                                                                                            ×¾Ö³ÖÖ÷Ö
25.     Buldhana                    -             -                  -                 1.15              1.34                    2.48             ²Öã»Öœü֝ÖÖ
26.     Akola                       -             -                  -                 1.00              1.16                    2.16             †úÖê»ÖÖ
27.     Washim                      -             -                  -                 0.71              0.83                    1.53             ¾ÖÖ׿ִÖ
28.     Amravati                  1.83          2.13               4.65                1.73              2.02                    3.73             †´Ö¸üÖ¾ÖŸÖß
29.     Yavatmal                  1.83          2.13               4.64                2.90              3.38                    6.25             µÖ¾ÖŸÖ´ÖÖôû
     Total Amravati               3.66          4.26               9.29                7.49              8.73                   16.15              ‹æúÖ †´Ö¸üÖ¾ÖŸÖß
        Division                                                                                                                                            ×¾Ö³ÖÖ÷Ö
30      Wardha                      -             -                  -                 1.54              1.80                    3.32             ¾Ö¬ÖÖÔ
31.     Nagpur                    0.39          0.45               0.99                4.05              4.72                    8.73             −ÖÖ÷Ö¯Öæ¸ü
32.     Bhandara                    -             -                  -                 0.98              1.14                    2.11             ³ÖÓ›üÖ¸üÖ
33.     Gondia                    0.96          1,12               2.44                1.00              1.17                    2.16             ÷ÖÖëפüµÖÖ
34.     Chandrapur                1.70          1.98               4.32                2.05              2.39                    4.42             “ÖÓ¦ü¯Öæ¸ü
35.     Gadchiroli                3.38          3.94               8.58                0.34              0.40                    0.73             ÷Ö›üדָüÖê»Öß
      Total Nagpur                6.43          7.50              16.33                9.96             11.62                   21.47                ‹æúÖ −ÖÖ÷Ö¯Öæ¸ü
        Division                                                                                                                                            ×¾Ö³ÖÖ÷Ö
™ü߯Ö- †Ö.ˆ.Öê¡Ö + †.†Ö.ˆ.Öê¡Ö (†.†Ö.ˆ.Öê¡ÖÖ´Ö¬µÖê ´ÖÖ›üÖ, ×´Ö−Öß´ÖÖ›üÖ ¯ÖÖòúê ™ü´Ö¬Öᯙ ÃÖ´ÖÖ×¾Ö™ü »ÖÖêúÃÖӏµÖê“ÖÖ ÃÖ㬤üÖ ÃÖ´ÖÖ¾Öê¿Ö †ÖÆêü.)

More Related Content

Similar to Tsp Otsp Population

Similar to Tsp Otsp Population (20)

State Population
State PopulationState Population
State Population
 
State Population
State PopulationState Population
State Population
 
Taluka Population
Taluka PopulationTaluka Population
Taluka Population
 
Taluka Population
Taluka PopulationTaluka Population
Taluka Population
 
Dist Lit Percentage
Dist Lit PercentageDist Lit Percentage
Dist Lit Percentage
 
Mada Minimada Villages
Mada Minimada VillagesMada Minimada Villages
Mada Minimada Villages
 
Mada Minimada Villages
Mada Minimada VillagesMada Minimada Villages
Mada Minimada Villages
 
Atsp Villages
Atsp VillagesAtsp Villages
Atsp Villages
 
Dist Ptg
Dist PtgDist Ptg
Dist Ptg
 
Districtwise Tribal%20 Population
Districtwise Tribal%20 PopulationDistrictwise Tribal%20 Population
Districtwise Tribal%20 Population
 
Area Population
Area PopulationArea Population
Area Population
 
Tsp City
Tsp CityTsp City
Tsp City
 
Tsp City
Tsp CityTsp City
Tsp City
 
Mizmor 19 Birkat HaChammah
Mizmor 19  Birkat HaChammahMizmor 19  Birkat HaChammah
Mizmor 19 Birkat HaChammah
 
UGC Paper i set-x (1)
 UGC Paper i set-x (1) UGC Paper i set-x (1)
UGC Paper i set-x (1)
 
UGC Paper i set-x
 UGC Paper i set-x UGC Paper i set-x
UGC Paper i set-x
 
Remote Area
Remote AreaRemote Area
Remote Area
 
UGC Paper i set-z
UGC Paper i set-zUGC Paper i set-z
UGC Paper i set-z
 
UGC Paper i set-z (1)
UGC Paper i set-z (1)UGC Paper i set-z (1)
UGC Paper i set-z (1)
 
UGC Paper i set-y
 UGC Paper i set-y UGC Paper i set-y
UGC Paper i set-y
 

More from priteeg

Tribal Percentage
Tribal PercentageTribal Percentage
Tribal Percentagepriteeg
 
Thakkar%20 Bappa%20 Info
Thakkar%20 Bappa%20 InfoThakkar%20 Bappa%20 Info
Thakkar%20 Bappa%20 Infopriteeg
 
Taluka List
Taluka ListTaluka List
Taluka Listpriteeg
 
St Populaton
St PopulatonSt Populaton
St Populatonpriteeg
 
Shabari Sthapana
Shabari SthapanaShabari Sthapana
Shabari Sthapanapriteeg
 
Remote Area
Remote AreaRemote Area
Remote Areapriteeg
 
Planned Exp
Planned ExpPlanned Exp
Planned Exppriteeg
 
Mini Mada Population
Mini Mada PopulationMini Mada Population
Mini Mada Populationpriteeg
 
Male Female Population
Male Female PopulationMale Female Population
Male Female Populationpriteeg
 
Mada Population
Mada PopulationMada Population
Mada Populationpriteeg
 
Tsp Otsp Population
Tsp Otsp PopulationTsp Otsp Population
Tsp Otsp Populationpriteeg
 
Tribal Percentage
Tribal PercentageTribal Percentage
Tribal Percentagepriteeg
 
Thakkar%20 Bappa%20 Info
Thakkar%20 Bappa%20 InfoThakkar%20 Bappa%20 Info
Thakkar%20 Bappa%20 Infopriteeg
 
Taluka List
Taluka ListTaluka List
Taluka Listpriteeg
 
St Populaton
St PopulatonSt Populaton
St Populatonpriteeg
 
Shabari Sthapana
Shabari SthapanaShabari Sthapana
Shabari Sthapanapriteeg
 
Planned Exp
Planned ExpPlanned Exp
Planned Exppriteeg
 
Mini Mada Population
Mini Mada PopulationMini Mada Population
Mini Mada Populationpriteeg
 
Male Female Population
Male Female PopulationMale Female Population
Male Female Populationpriteeg
 
Mada Population
Mada PopulationMada Population
Mada Populationpriteeg
 

More from priteeg (20)

Tribal Percentage
Tribal PercentageTribal Percentage
Tribal Percentage
 
Thakkar%20 Bappa%20 Info
Thakkar%20 Bappa%20 InfoThakkar%20 Bappa%20 Info
Thakkar%20 Bappa%20 Info
 
Taluka List
Taluka ListTaluka List
Taluka List
 
St Populaton
St PopulatonSt Populaton
St Populaton
 
Shabari Sthapana
Shabari SthapanaShabari Sthapana
Shabari Sthapana
 
Remote Area
Remote AreaRemote Area
Remote Area
 
Planned Exp
Planned ExpPlanned Exp
Planned Exp
 
Mini Mada Population
Mini Mada PopulationMini Mada Population
Mini Mada Population
 
Male Female Population
Male Female PopulationMale Female Population
Male Female Population
 
Mada Population
Mada PopulationMada Population
Mada Population
 
Tsp Otsp Population
Tsp Otsp PopulationTsp Otsp Population
Tsp Otsp Population
 
Tribal Percentage
Tribal PercentageTribal Percentage
Tribal Percentage
 
Thakkar%20 Bappa%20 Info
Thakkar%20 Bappa%20 InfoThakkar%20 Bappa%20 Info
Thakkar%20 Bappa%20 Info
 
Taluka List
Taluka ListTaluka List
Taluka List
 
St Populaton
St PopulatonSt Populaton
St Populaton
 
Shabari Sthapana
Shabari SthapanaShabari Sthapana
Shabari Sthapana
 
Planned Exp
Planned ExpPlanned Exp
Planned Exp
 
Mini Mada Population
Mini Mada PopulationMini Mada Population
Mini Mada Population
 
Male Female Population
Male Female PopulationMale Female Population
Male Female Population
 
Mada Population
Mada PopulationMada Population
Mada Population
 

Recently uploaded

#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsHyundai Motor Group
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 

Recently uploaded (20)

#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 

Tsp Otsp Population

  • 1. Table No.7/ ŸÖŒŸÖÖ Îú´ÖÖӍú 7 Districtwise Total Tribal Population in Tribal Sub-Plan Area (T.S.P. Area ) and Outside Tribal Sub-Plan Area (O.T.S.P. Area) as per 2001 Census. (Provisional Figures) 2001 “µÖÖ •Ö−Ö÷֝Ö−Öê−ÖãÃÖÖ¸ü וֻÆüÖ×−ÖÆüÖµÖ †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ Öê¡ÖÖŸÖᯙ ¾Ö Öê¡ÖÖ²ÖÖÆêü¸üᯙ ‹æúÖ †Öפü¾ÖÖÃÖß »ÖÖêúÃÖӏµÖÖ (Population in Lakh »ÖÖêúÃÖӏµÖÖ »Ö֏ÖÖŸÖ) Scheduled Tribes Population in 2001/2001 ´Ö¬Öᯙ †Öפü¾ÖÖÃÖß »ÖÖêúÃÖӏµÖÖ Tribal Sub Plan Area (T.S.P. Scheduled Area + Outside Tribal Sub-Plan Area including M.A.D.A. and Mini A.T.S.P.area. M.A.D.A. Pockets. †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ Öê¡Ö (†Ö.ˆ.µÖÖê.ÃÖæ×“ÖŸÖ Öê¡Ö+†×ŸÖ.†Ö.ˆ.µÖÖê.Öê¡Ö) †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ ²ÖÖÆüµÖ Öê¡Ö (´ÖÖ›üÖ ¾Ö ×´Ö−Öß´ÖÖ›üÖ ¯ÖÖòêú™üÃÖ ¬Ö¹ý−Ö) Percentage with Percentage with ™üŒêú¾ÖÖ¸üß“Öß ŸÖã»Ö−ÖÖ ™üŒêú¾ÖÖ¸üß“Öß ŸÖã»Ö−ÖÖ Sr. District Tribal ¸üÖ•µÖÖŸÖᯙ †Ö.ˆ.µÖÖê.Öê¡Ö †Ö.ˆ.µÖÖê. ¸üúÖ−ÖÖ 6 ´Ö¬Öᯙ ¸üúÖ−ÖÖ 6 ´Ö¬Öß»Ö ×•Ö»ÆüÖ No. Popula- ‹æúÖ ¾Ö †.†Ö.µÖÖê. ²ÖÖÆüµÖ »ÖÖêúÃÖӏµÖê¿Öß »ÖÖêúÃÖӏµÖê“Öß †. tion 85.77 »ÖÖÖ Öê¡ÖÖŸÖᯙ Öê¡ÖÖŸÖᯙ ¾Ö ‹æúÖ וֻÆüµÖÖŸÖᯙ Îú. †Öפü¾ÖÖÃÖß †Öפü¾ÖÖÃÖß ‹æúÖ 39.38 ´ÖÖ›üÖ ¾Ö †Öפü¾ÖÖÃÖß †Öפü¾ÖÖÃÖß »ÖÖêúÃÖӏµÖÖ »ÖÖêúÃÖӏµÖê“Öß »ÖÖÖ ×´Ö−Öß´ÖÖ›üÖ »ÖÖêúÃÖӏµÖê“Öß »ÖÖêúÃÖӏµÖê¿Öß ™üŒêú¾ÖÖ¸üß »ÖÖêúÃÖӏµÖê“Öß Öê¡ÖÖŸÖᯙ ™üŒêú¾ÖÖ¸üß ™üŒêú¾ÖÖ¸üß †Öפü¾ÖÖÃÖß ¸üúÖ−ÖÖ Îú.3 »ÖÖêúÃÖӏµÖÖ ¿Öß ™üŒêú¾ÖÖ¸üß 1 2 3 4 5 6 7 8 2 Maharashtra State 39.38 45.91 100.00 46.39 54.09 100.00 ´ÖÆüÖ¸üÖ™Òü ¸üÖ•µÖ Kokan Division 1. Mumbai - - - 0.21 0.24 0.45 ´ÖÓã²Ö‡Ô 2. Mumbai Sub. - - - 0.71 0.83 1.53 ´ÖÓã²Ö‡Ô ˆ¯Ö−Ö÷Ö¸ü 3. Thane 9.52 11.1o 24.18 2.48 2.89 5.35 šü֝Öê 4. Raigad 0.19 0.22 0.48 2.50 2.92 5.39 ¸üÖµÖ÷Ö›ü 5. Ratanagiri - - - 0.20 0.23 0.43 ¸üŸ−ÖÖ×÷Ö¸üß 6. Sindudurg - - - 0.05 0.06 0.11 ØÃÖ¬Öã¤ãü÷ÖÔ Total Kokan Division 9.71 11.32 24.66 6.15 7.17 13.26 ‹æúÖ úÖêúÖ ×¾Ö³ÖÖ÷Ö 7. Nashik 6.99 8.15 17.75 4.96 5.78 10.69 −ÖÖ׿֍ú 8. Dhule 2.13 2.48 5.41 2.30 2.68 4.96 ¬Öãôêû 9. Nandurbar 7.86 9.17 19.96 0.73 0.85 1.57 −ÖÓ¤æü¸ü²ÖÖ¸ü 10. Jaigaon 0.41 0.48 1.04 3.95 4.61 8.51 •Öôû÷ÖÖÓ¾Ö 11. Ahmandnagar 0.87 1.01 2.21 2.17 2.53 4.68 †Æü´Ö¤ü−Ö÷Ö¸ü Total Nashik Division 18.26 21.29 46.37 14.11 16.45 30.41 ‹æúÖ −ÖÖ׿֍ú ×¾Ö³ÖÖ÷Ö 12. Pune 0.82 0.96 2.08 1.80 2.10 3.88 ¯ÖãÖê 13. Satara - - - 0.22 0.26 0.47 ÃÖÖŸÖÖ¸üÖ 14. Sangli - - - 0.18 0.21 0.39 ÃÖÖÓ÷Ö»Öß 15. Solapur - - - 0.69 0.80 1.49 ÃÖÖê»ÖÖ¯Öæ¸ü 16. Kolhapur - - - 0.21 0.25 0.45 úÖê»ÆüÖ¯Öæ¸ü Total Pune Division 0.82 0.96 2.08 3.10 3.62 6.68 ‹æúÖ ¯ÖãÖê ×¾Ö³ÖÖ÷Ö
  • 2. Scheduled Tribes Population in 2001/2001 ´Ö¬Öᯙ †Öפü¾ÖÖÃÖß »ÖÖêúÃÖӏµÖÖ Tribal Sub Plan Area (T.S.P. Scheduled Area + Outside Tribal Sub-Plan Area including M.A.D.A. and Mini A.T.S.P.area. M.A.D.A. Pockets. †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ Öê¡Ö (†Ö.ˆ.µÖÖê.ÃÖæ×“ÖŸÖ Öê¡Ö+†×ŸÖ.†Ö.ˆ.µÖÖê.Öê¡Ö) †Öפü¾ÖÖÃÖß ˆ¯ÖµÖÖê•Ö−ÖÖ ²ÖÖÆüµÖ Öê¡Ö (´ÖÖ›üÖ ¾Ö ×´Ö−Öß´ÖÖ›üÖ ¯ÖÖòêú™üÃÖ ¬Ö¹ý−Ö) Percentage with Percentage with ™üŒêú¾ÖÖ¸üß“Öß ŸÖã»Ö−ÖÖ ™üŒêú¾ÖÖ¸üß“Öß ŸÖã»Ö−ÖÖ Sr. District Tribal ¸üÖ•µÖÖŸÖᯙ †Ö.ˆ.µÖÖê.Öê¡Ö †Ö.ˆ.µÖÖê. ¸üúÖ−ÖÖ 6 ´Ö¬Öᯙ ¸üúÖ−ÖÖ 6 ´Ö¬Öß»Ö ×•Ö»ÆüÖ No. Popula- ‹æúÖ ¾Ö †.†Ö.µÖÖê. ²ÖÖÆüµÖ »ÖÖêúÃÖӏµÖê¿Öß »ÖÖêúÃÖӏµÖê“Öß †. tion 85.77 »ÖÖÖ Öê¡ÖÖŸÖᯙ Öê¡ÖÖŸÖᯙ ¾Ö ‹æúÖ וֻÆüµÖÖŸÖᯙ Îú. †Öפü¾ÖÖÃÖß †Öפü¾ÖÖÃÖß ‹æúÖ 39.38 ´ÖÖ›üÖ ¾Ö †Öפü¾ÖÖÃÖß †Öפü¾ÖÖÃÖß »ÖÖêúÃÖӏµÖÖ »ÖÖêúÃÖӏµÖê“Öß ×´Ö−Öß´ÖÖ›üÖ »ÖÖêúÃÖӏµÖê“Öß »ÖÖêúÃÖӏµÖê¿Öß »ÖÖÖ ™üŒêú¾ÖÖ¸üß »ÖÖêúÃÖӏµÖê“Öß Öê¡ÖÖŸÖᯙ ™üŒêú¾ÖÖ¸üß ™üŒêú¾ÖÖ¸üß †Öפü¾ÖÖÃÖß ¸üúÖ−ÖÖ Îú.3 »ÖÖêúÃÖӏµÖÖ ¿Öß ™üŒêú¾ÖÖ¸üß 1 2 3 4 5 6 7 8 17. Aurgangabad - - - 1.00 1.16 2.16 †Öî¸Óü÷ÖÖ²ÖÖ¤ü 18. Jalna - - - 0.32 0.37 0.69 •ÖÖ»Ö−ÖÖ 19. Parbhani - - - 0.35 0.41 0.75 ¯Ö¸ü³ÖÖß 20. Hingoli - - - 0.87 1.01 1.88 ØÆü÷ÖÖê»Öß 21. Beed - - - 0.24 0.28 0.52 ²Öß›ü 22. Nanded 0.50 0.58 1.27 2.04 2.38 4.40 −ÖÖÓ¤êü›ü 23. Osmanabad - - - 0.28 0.33 0.60 ˆÃ´ÖÖ−ÖÖ²ÖÖ¤ü 24. Latur - - - 0.48 0.56 1.03 »ÖÖŸÖæ¸ü Total Auranganad 0.50 0.58 1.27 5.58 6.50 12.03 ‹æúÖ †Öî¸Óü÷ÖÖ²ÖÖ¤ü Division ×¾Ö³ÖÖ÷Ö 25. Buldhana - - - 1.15 1.34 2.48 ²Öã»Öœü֝ÖÖ 26. Akola - - - 1.00 1.16 2.16 †úÖê»ÖÖ 27. Washim - - - 0.71 0.83 1.53 ¾ÖÖ×¿Ö´Ö 28. Amravati 1.83 2.13 4.65 1.73 2.02 3.73 †´Ö¸üÖ¾ÖŸÖß 29. Yavatmal 1.83 2.13 4.64 2.90 3.38 6.25 µÖ¾ÖŸÖ´ÖÖôû Total Amravati 3.66 4.26 9.29 7.49 8.73 16.15 ‹æúÖ †´Ö¸üÖ¾ÖŸÖß Division ×¾Ö³ÖÖ÷Ö 30 Wardha - - - 1.54 1.80 3.32 ¾Ö¬ÖÖÔ 31. Nagpur 0.39 0.45 0.99 4.05 4.72 8.73 −ÖÖ÷Ö¯Öæ¸ü 32. Bhandara - - - 0.98 1.14 2.11 ³ÖÓ›üÖ¸üÖ 33. Gondia 0.96 1,12 2.44 1.00 1.17 2.16 ÷ÖÖëפüµÖÖ 34. Chandrapur 1.70 1.98 4.32 2.05 2.39 4.42 “ÖÓ¦ü¯Öæ¸ü 35. Gadchiroli 3.38 3.94 8.58 0.34 0.40 0.73 ÷Ö›üדָüÖê»Öß Total Nagpur 6.43 7.50 16.33 9.96 11.62 21.47 ‹æúÖ −ÖÖ÷Ö¯Öæ¸ü Division ×¾Ö³ÖÖ÷Ö ™ü߯Ö- †Ö.ˆ.Öê¡Ö + †.†Ö.ˆ.Öê¡Ö (†.†Ö.ˆ.Öê¡ÖÖ´Ö¬µÖê ´ÖÖ›üÖ, ×´Ö−Öß´ÖÖ›üÖ ¯ÖÖòúê ™ü´Ö¬Öᯙ ÃÖ´ÖÖ×¾Ö™ü »ÖÖêúÃÖӏµÖê“ÖÖ ÃÖ㬤üÖ ÃÖ´ÖÖ¾Öê¿Ö †ÖÆêü.)