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

What's hot

Smart Irrigation System Using IoT
Smart Irrigation System Using IoTSmart Irrigation System Using IoT
Smart Irrigation System Using IoTLokesh Parihar
 
Iot transforming the future of agriculture
Iot transforming the future of agricultureIot transforming the future of agriculture
Iot transforming the future of agricultureDr.R. Gunavathi Ramasamy
 
Industrial waste water treatment
Industrial waste water treatmentIndustrial waste water treatment
Industrial waste water treatmentSilan Tharakan
 
Development of India : Vision 2025
Development of India : Vision 2025 Development of India : Vision 2025
Development of India : Vision 2025 avav28
 

What's hot (6)

Smart farming using IOT
Smart farming using IOTSmart farming using IOT
Smart farming using IOT
 
Smart Irrigation System Using IoT
Smart Irrigation System Using IoTSmart Irrigation System Using IoT
Smart Irrigation System Using IoT
 
Septic Tank
Septic TankSeptic Tank
Septic Tank
 
Iot transforming the future of agriculture
Iot transforming the future of agricultureIot transforming the future of agriculture
Iot transforming the future of agriculture
 
Industrial waste water treatment
Industrial waste water treatmentIndustrial waste water treatment
Industrial waste water treatment
 
Development of India : Vision 2025
Development of India : Vision 2025 Development of India : Vision 2025
Development of India : Vision 2025
 

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 (1)
UGC Paper i set-z (1)UGC Paper i set-z (1)
UGC Paper i set-z (1)
 
UGC Paper i set-z
UGC Paper i set-zUGC Paper i set-z
UGC Paper i set-z
 
UGC Paper i set-y (1)
 UGC Paper i set-y (1) UGC Paper i set-y (1)
UGC Paper i set-y (1)
 

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

Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 

Recently uploaded (20)

Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 

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.)