District Level Report Amreli

Ayush Patel

2022-08-23

Introduction - Amreli

This report aims to provide a birds eye view of the district through the lens of village amenities data released by census in 2011. Before moving towards the descriptive insights from the census data, here is what pops up when a search is executed for Amreli district Gujarat on wikipedia.



Summary Statistics

Total Number of Villages: 616

Total Number of Gram Panchayat: 544

Total Number of Sub Districts: 11

Total Population : 1.127555^{6}

Statistical Summaries at the subdistrict level

Sub District Total Population Total SC Population Total ST Population Total Area of Vilalges Total Area Sown (Net)
Amreli 123312 16210 530 77325.23 65853.78
Babra 115251 8393 306 73354.55 55313.60
Bagasara 48533 7049 429 29995.40 24729.86
Dhari 123086 13284 581 96298.64 63865.75
Jafrabad 80835 6335 117 32692.89 23683.70
Khambha 93431 7666 87 59529.54 38796.25
Kunkavav Vadia 99794 13487 956 54581.99 47643.52
Lathi 95127 8486 591 57474.55 48288.80
Lilia 50064 5011 132 37684.69 31381.38
Rajula 137204 10451 185 62966.98 41389.27
Savar Kundla 160918 12979 226 110050.74 82040.05

Population and Geographical Area

It is of interest to look into which are the most densely populated villages. We can do this by creating a simple scatter plot between population of village and the total geographical area of a village.


Irrigation for Agriculture

The census provides the net area sown (hectares) in a village along with area irrigated with water source in hectares. The area under irrigation may be affected by several factors.

Area Sown vs Area under Irrigation


A distribution for the percentage of area irrigated will be interesting to look at.

Understanding what drives area under irrigation

Much is heard about rain fed agriculture in India. There are several factors that can affect area under irrigation - ranging from government supports, demographics, distance from urban clusters and several known and unknown variables. With the given data we can check if the following variables have any relation with area under irrigation:

  • Percentage of Marginalised group population in village
  • Distance from Major government offices
  • Distance from urban center
  • Total population of a village

A simple Linear regression to see if the above explanation has any merit

Dependent variable:
perc_irrigated_over_net_sown
total_population_of_village 0.001*
(0.0004)
perc_marginalised_pop 0.015
(0.088)
district_head_quarter_distance_in_km 0.196***
(0.070)
sub_district_head_quarter_distance_in_km -0.105
(0.123)
nearest_statutory_town_distance_in_km 0.036
(0.119)
sub_district_nameBabra 1.028
(3.949)
sub_district_nameBagasara 0.856
(4.574)
sub_district_nameDhari 25.398***
(3.820)
sub_district_nameJafrabad -21.822***
(7.186)
sub_district_nameKhambha 8.873*
(4.782)
sub_district_nameKunkavav Vadia 7.119*
(4.151)
sub_district_nameLathi -2.870
(3.939)
sub_district_nameLilia -11.102***
(4.061)
sub_district_nameRajula -5.530
(5.884)
sub_district_nameSavar Kundla 0.776
(3.843)
Constant 14.866***
(3.252)
Observations 611
R2 0.265
Adjusted R2 0.246
Residual Std. Error 19.151 (df = 595)
F Statistic 14.291*** (df = 15; 595)
Note: p<0.1; p<0.05; p<0.01

Model Diagnostic plots

Distribution of Redsiduals

Distribution of Redsiduals


Residuals vs Fitted

Residuals vs Fitted

Note

This is to serve as a minimal example of creating parameterised reports with .rmd/.qmd files. This document is in no way analytically or statistically rigorous.