All procurement data are in rupees crore
| S.No.
|
Month
|
Total Monthly Procurement
|
Procurement From MSEs (Including SC/ST)
|
Procurement From SC/ST MSEs
|
Procurement From Women
|
Total MSEs Benefited
|
SC/ST MSEs Benefited
|
Women MSEs Benefited
|
Data Entry Date
|
Updated On
|
|
1
|
March
|
150.5603
|
117.5864
|
0.4157
|
4.0144
|
164
|
1
|
18
|
4/17/2023 6:03:39 PM
|
4/25/2023 6:31:33 PM
|
|
2
|
February
|
219.7953
|
171.9851
|
0.0344
|
2.0049
|
107
|
2
|
14
|
3/14/2023 4:08:29 PM
|
4/25/2023 6:30:01 PM
|
|
3
|
January
|
34.5657
|
19.8473
|
0.4883
|
0.8608
|
108
|
2
|
9
|
2/16/2023 12:41:46 PM
|
4/25/2023 6:29:30 PM
|
|
4
|
November
|
450.1780
|
357.0863
|
4.7047
|
10.8963
|
71
|
3
|
11
|
1/12/2023 12:14:18 PM
|
4/19/2023 4:58:39 PM
|
|
5
|
March
|
150.5603
|
117.5864
|
0.4157
|
4.0144
|
1
|
1
|
1
|
4/17/2023 6:03:39 PM
|
4/17/2023 6:04:04 PM
|
|
6
|
February
|
219.7953
|
171.9851
|
0.0344
|
2.0049
|
96
|
2
|
14
|
3/14/2023 4:08:29 PM
|
3/18/2023 10:34:14 AM
|
|
7
|
January
|
34.5657
|
19.8473
|
0.4883
|
0.8608
|
95
|
1
|
9
|
2/16/2023 12:41:46 PM
|
3/18/2023 10:33:21 AM
|
|
8
|
February
|
219.7953
|
171.9851
|
0.0344
|
2.0049
|
1
|
1
|
1
|
3/14/2023 4:08:29 PM
|
3/14/2023 4:08:55 PM
|
|
9
|
January
|
34.5657
|
19.8473
|
0.4883
|
0.8608
|
1
|
1
|
1
|
2/16/2023 12:41:46 PM
|
2/16/2023 4:03:08 PM
|
|
10
|
January
|
34.5657
|
19.8473
|
0.4883
|
0.8608
|
1
|
1
|
1
|
2/16/2023 12:41:46 PM
|
2/16/2023 12:42:29 PM
|
|
11
|
December
|
96.9105
|
85.9309
|
0.2235
|
3.4595
|
96
|
1
|
10
|
1/12/2023 12:17:02 PM
|
2/16/2023 12:38:59 PM
|
|
12
|
December
|
96.9105
|
85.9309
|
0.2235
|
3.4595
|
96
|
1
|
10
|
1/12/2023 12:17:02 PM
|
2/16/2023 12:38:22 PM
|
|
13
|
November
|
450.1780
|
357.0863
|
4.6147
|
10.8963
|
71
|
3
|
11
|
1/12/2023 12:14:18 PM
|
2/6/2023 10:28:52 AM
|
|
14
|
November
|
450.1780
|
357.0863
|
4.6147
|
10.8963
|
71
|
3
|
11
|
1/12/2023 12:14:18 PM
|
2/6/2023 10:27:59 AM
|
|
15
|
November
|
18.4375
|
15.2158
|
0.3802
|
4.9905
|
71
|
3
|
11
|
1/12/2023 12:14:18 PM
|
1/12/2023 12:17:56 PM
|
|
16
|
December
|
30.0733
|
19.6999
|
0.0754
|
2.9494
|
96
|
1
|
10
|
1/12/2023 12:17:02 PM
|
1/12/2023 12:17:36 PM
|
|
17
|
October
|
51.2413
|
46.8260
|
0.0156
|
2.5088
|
78
|
1
|
9
|
11/21/2022 12:41:43 PM
|
11/22/2022 5:06:48 PM
|
|
18
|
September
|
17.7957
|
8.8107
|
0.0150
|
0.6282
|
74
|
1
|
10
|
11/21/2022 12:39:19 PM
|
11/22/2022 5:05:54 PM
|
|
19
|
August
|
32.7253
|
15.2502
|
0.1863
|
0.6700
|
92
|
2
|
11
|
11/21/2022 12:36:36 PM
|
11/22/2022 5:05:06 PM
|
|
20
|
August
|
32.7253
|
15.2502
|
0.1863
|
0.6700
|
100
|
10
|
12
|
11/21/2022 12:36:36 PM
|
11/21/2022 12:44:47 PM
|
|
21
|
July
|
27.4674
|
23.2164
|
0.6492
|
7.5200
|
91
|
3
|
8
|
8/31/2022 10:55:59 AM
|
8/31/2022 11:00:50 AM
|
|
22
|
June
|
12.2148
|
10.8852
|
0.2856
|
1.9200
|
91
|
3
|
9
|
8/31/2022 10:46:21 AM
|
8/31/2022 10:59:10 AM
|
|
23
|
November
|
18.4375
|
15.2158
|
0.3802
|
4.9905
|
71
|
3
|
11
|
1/12/2023 12:14:18 PM
|
|
|
24
|
December
|
30.0733
|
19.6999
|
0.0754
|
2.9494
|
96
|
1
|
10
|
1/12/2023 12:17:02 PM
|
|
|
25
|
August
|
32.7253
|
15.2502
|
0.1863
|
0.6700
|
100
|
10
|
12
|
11/21/2022 12:36:36 PM
|
|
|
26
|
September
|
17.7957
|
8.8107
|
0.0150
|
0.6282
|
80
|
10
|
12
|
11/21/2022 12:39:19 PM
|
|
|
27
|
October
|
51.2413
|
46.8260
|
0.0156
|
2.5088
|
80
|
10
|
10
|
11/21/2022 12:41:43 PM
|
|
|
28
|
April
|
13.2466
|
10.0819
|
0.0045
|
0.2900
|
67
|
2
|
8
|
5/17/2022 4:00:19 PM
|
|
|
29
|
May
|
40.1331
|
34.9161
|
0.0340
|
2.8700
|
90
|
2
|
8
|
6/22/2022 4:18:52 PM
|
|
|
30
|
June
|
12.2148
|
10.8852
|
0.2856
|
1.9200
|
91
|
3
|
9
|
8/31/2022 10:46:21 AM
|
|
|
31
|
July
|
27.4674
|
23.2164
|
0.6492
|
7.5200
|
91
|
3
|
8
|
8/31/2022 10:55:59 AM
|
|
|
32
|
January
|
34.5657
|
19.8473
|
0.4883
|
0.8608
|
1
|
1
|
1
|
2/16/2023 12:41:46 PM
|
|
|
33
|
February
|
219.7953
|
171.9851
|
0.0344
|
2.0049
|
1
|
1
|
1
|
3/14/2023 4:08:29 PM
|
|
|
34
|
March
|
150.5603
|
117.5864
|
0.4157
|
4.0144
|
1
|
1
|
1
|
4/17/2023 6:03:39 PM
|
|