District Level Report Surendranagar

Author

Ayush Patel

Published

August 23, 2022

Introduction - Surendranagar

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 Surendranagar district Gujarat on wikipedia.



Summary Statistics

Total Number of Villages: 651

Total Number of Gram Panchayat: 594

Total Number of Sub Districts: 10

Total Population : 1.259352^{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)
Chotila 157140 9806 172 97968.56 56808.27
Chuda 97916 9453 104 51278.46 43646.08
Dasada 150972 23539 255 156723.32 124067.49
Dhrangadhra 142908 16881 348 130306.01 83754.69
Halvad 138976 8794 236 114404.03 77919.12
Lakhtar 75606 10827 206 74176.76 61518.05
Limbdi 132570 14567 17542 117010.23 61372.57
Muli 118902 11851 176 93575.62 54214.74
Sayla 138643 9129 143 97291.84 58451.24
Wadhwan 105719 13172 131 67389.87 55442.06

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
(0.001)
perc_marginalised_pop -0.158
(0.099)
district_head_quarter_distance_in_km 0.288***
(0.079)
sub_district_head_quarter_distance_in_km -0.315***
(0.114)
nearest_statutory_town_distance_in_km -0.011
(0.115)
sub_district_nameChuda 4.484
(5.030)
sub_district_nameDasada -31.938***
(3.569)
sub_district_nameDhrangadhra 2.062
(4.450)
sub_district_nameHalvad 10.246***
(3.789)
sub_district_nameLakhtar -29.257***
(5.426)
sub_district_nameLimbdi 5.260
(4.499)
sub_district_nameMuli 2.344
(4.841)
sub_district_nameSayla -10.604**
(4.274)
sub_district_nameWadhwan -14.649**
(5.984)
Constant 30.477***
(5.452)
Observations 647
R2 0.340
Adjusted R2 0.325
Residual Std. Error 23.568 (df = 632)
F Statistic 23.250*** (df = 14; 632)
Note: p<0.1; p<0.05; p<0.01

Model Diagnostic plots

Distribution of Redsiduals


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.