India, Sept. 18 -- The Government of India has issued a release:
Snapshot:
Table 1: Distribution of districts across LFPR and WPR brackets
LFPR/ WPR range (in %)
% share of districts-LFPR
% share of districts-WPR
(1)
(2)
(3)
below 40
0.2
1.0
40-60
46.1
54.3
60-80
52.7
44.0
above 80
1.0
0.7
Table 2: Distribution of districts across UR brackets
UR range (in %)
% share of districts
(1)
(2)
below 0.5
7.2
0.5-3.0
43.1
3.0-5.5
34.7
above 5.5
14.9
Table 3: Distribution of districts across NEET brackets
NEET range (in %)
% share of districts
(1)
(2)
below 10
4.2
10-20
26.1
20-30
45.9
above 30
23.7
Table 4: State-wise districts with highest female LFPR and WPR
State
District with highest female LFPR (estimate in %)
District with highest female WPR (estimate in %)
(1)
(2)
(3)
Andhra Pradesh
Sri Satya Sai (59.1)
Sri Satya Sai (56.7)
Assam
Tinsukia (66.1)
Tinsukia (64.6)
Bihar
Siwan (24.7)
Siwan (24.3)
Chhattisgarh
Surguja (69.0)
Surguja (68.0)
Delhi
East Delhi (18.9)
East Delhi (15.7)
Gujarat
Kheda (55.6)
Kheda (55.4)
Haryana
Sirsa (42.4)
Sirsa (41.2)
Himachal Pradesh
Hamirpur (80.9)
Hamirpur (80.0)
Jammu and Kashmir
Budgam (71.4)
Budgam (69.6)
Jharkhand
Pashchimi Singhbhum (55.7)
Giridih (54.4)
Karnataka
Bijapur (47.0)
Bijapur (46.3)
Keralam
Thiruvananthapuram (52.0)
Thiruvananthapuram (49.9)
Madhya Pradesh
Dhar (59.6)
Dhar (59.5)
Maharashtra
Ahmednagar (51.9)
Ahmednagar (50.5)
Odisha
Mayurbhanj (71.8)
Mayurbhanj (71.2)
Punjab
Patiala (39.3)
Patiala (35.8)
Rajasthan
Dausa (60.9)
Dausa (59.6)
Tamil Nadu
Cuddalore (54.9)
Cuddalore (54.4)
Telangana
Jagtial (63.2)
Jagtial (62.5)
Uttarakhand
Tehri Garhwal (56.3)
Tehri Garhwal (55.9)
Uttar Pradesh
Ghazipur (53.4)
Ghazipur (52.9)
West Bengal
Paschim Medinipur (41.8)
Paschim Medinipur (41.2)
Table 5: Districts with lowest UR
State
District
UR (%)
(1)
(2)
(3)
West Bengal
South Twenty-Four Parganas
0.9
Bihar
Araria
0.9
Gujarat
Ahmedabad
1.1
Gujarat
Surat
1.2
Uttar Pradesh
Bareilly
1.2
Uttar Pradesh
Bulandshahr
1.2
Gujarat
Banas Kantha
1.2
Karnataka
Belagavi
1.5
Maharashtra
Palghar
1.5
Maharashtra
Nanded
1.5
Table 6: Districts with lowest NEET rate
State
District
NEET (%)
(1)
(2)
(3)
Keralam
Ernakulam
9.6
Tamil Nadu
Coimbatore
14.5
Karnataka
Bengaluru (Urban)
15.0
Jharkhand
Ranchi
16.5
Gujarat
Surat
17.2
Keralam
Thrissur
17.8
Gujarat
Vadodara
18.1
Maharashtra
Raigad
18.5
Maharashtra
Chhatrapati Sambhajinagar
18.6
Gujarat
Ahmedabad
18.9
The bulletin on 'Labour Market Snapshot of Selected Districts' is available on the Ministry's website (https://www.mospi.gov.in).
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Key findings (under usual status approach):
i. In the age group 15 years and above, among the 100 most populous districts:
(a) Surat in Gujarat (68.6%), followed by Araria in Bihar (68.0%) and Salem in Tamil Nadu (67.8%), recorded the highest LFPR.
(b) Similarly, Surat in Gujarat (67.8%), Araria in Bihar (67.4%), and Banaskantha in Gujarat (66.6%) registered the highest WPR.
(c) South Twenty-Four Parganas in West Bengal (0.9%), Araria in Bihar (0.9%) and Ahmedabad in Gujarat (1.1%) exhibited the lowest unemployment rate.
(d) Ernakulam in Keralam (9.6%), Coimbatore in Tamil Nadu (14.5%) and Bengaluru (Urban) in Karnataka (15.0%) reported the lowest NEET (not in employment, education or training) for youth age 15-29 years.
ii. Among the State capital districts (as per the States mentioned in Table 4):
Key highlights (under usual status approach):
1. Distribution of districts by key labour market indicators
Table 1 shows that district-level LFPR and WPR estimates, under usual status for age 15 years and above, are concentrated in the middle ranges, with over 98% of districts falling within the 40-80% bracket for both indicators, and only a negligible proportion recording values below 40% or above 80%. Within this bracket, the distribution differs slightly between the two: a majority of districts (52.7%) report LFPR in the 60-80% range, whereas a majority (54.3%) of districts report WPR in the comparatively lower 40-60% range.
Table 2 shows that district-level unemployment rates, under usual status for age 15 years and above, are concentrated in the moderate range, with 43.1% of districts recorded UR between 0.5 and 3.0% and a further 34.7% between 3.0 and 5.5%, while relatively few districts reported either very low (below 0.5%, 7.2% of districts) or high (above 5.5%, 14.9% of districts) unemployment.
Table 3 presents the distribution of districts across NEET ranges for youth aged 15-29 years under the usual status approach. The distribution of districts across NEET ranges shows that 45.9% of the districts recorded a NEET rate in the range of 20-30%. This was followed by 26.1% of districts with NEET rates between 10-20%. Further, 23.7% of districts recorded NEET rates above 30%, indicating that nearly one-fourth of the districts had relatively high NEET rates. At the lower end, 4.2% of districts recorded NEET rates below 10%. Overall, 76.2% of districts had NEET rates below 30%, while 23.7% reported rates above 30%.
2. Districts with higher female LFPR and WPR
Table 4 presents, for each State, the district recording the highest female LFPR and WPR, selected from among the State's ten most populous districts, considering female population.
3. Top districts with lowest UR
Table 5 presents the ten districts that recorded the lowest UR, in the age group 15 years and above, selected among the 100 most populous districts at the all-India level.
4. Top districts with lowest NEET rate
Table 6 presents the ten districts that recorded the lowest NEET rate, in the age group 15-29 years, selected among the 100 most populous districts at the all-India level.
Endnote:
A. Introduction
Considering the need to generate high-frequency labour force indicators with enhanced coverage, the sampling methodology of the Periodic Labour Force Survey (PLFS) has been revamped from January 2025. Further, to maintain uniformity with the international practice of reporting labour force indicators, the survey period of PLFS has been shifted from the July-June cycle (i.e., agricultural year) to the January-December cycle (i.e., calendar year) from 2025. The modified PLFS sampling design is envisaged to address the following objectives:
The PLFS sampling design from 2025 onwards has considered districts as the basic stratum for the majority of the geographical area, thereby facilitating the generation of district-level estimates. Prior to 2025, the PLFS sampling design was based on NSS Regions as the basic stratum and was therefore not specifically designed to generate district-level estimates.
B. Methodological caveats
This bulletin represents the first release of district-level estimates under the Periodic Labour Force Survey (PLFS), based on the revised sampling design adopted from January 2025. The estimates presented herein are based on the sampling frame as constituted at the time of sample selection and may not reflect subsequent changes in district boundaries, bifurcation or nomenclature.
While the estimates provide valuable insights into labour market conditions at the district level, they are subject to the limitations inherent in sample surveys. Users are advised to exercise due caution while interpreting the estimates, taking into account the associated sampling variability and Relative Standard Error (RSE). It may be noted that comparison with earlier NSS-region-based estimates is not appropriate, as the present survey design is oriented towards district-level representation.
C. Conceptual Framework of Key Indicators
The bulletin presents key labour force indicators at basic stratum level namely, Labour Force Participation Rates (LFPR), Worker Population Ratio (WPR), Unemployment Rate (UR) and persons Not in Employment, Education or Training (NEET). These indicators, along with the 'Usual Status' and 'Current Weekly Status' measurement approaches, are defined as follows:
Disclaimer: Curated by HT Syndication.
