District Level Report Dohad

Author

Ayush Patel

Published

August 23, 2022

Introduction - Dohad

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 Dohad district Gujarat on wikipedia.



Summary Statistics

Total Number of Villages: 692

Total Number of Gram Panchayat: 488

Total Number of Sub Districts: 7

Total Population : 1.935461^{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)
Devgadbaria 228305 8390 47200 57558.18 32156.89
Dhanpur 180369 1568 128192 46638.69 18571.92
Dohad 350342 3811 332259 58030.51 34069.88
Fatepura 238116 3620 222511 32375.34 21798.05
Garbada 198879 3561 188596 26140.21 15678.90
Jhalod 437105 4511 410944 77633.89 50540.15
Limkheda 302345 6186 192306 59477.08 33683.04

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*
(0.0003)
perc_marginalised_pop -0.043
(0.034)
district_head_quarter_distance_in_km 0.238***
(0.070)
sub_district_head_quarter_distance_in_km 0.141
(0.117)
nearest_statutory_town_distance_in_km -0.384***
(0.130)
sub_district_nameDhanpur 12.619***
(4.311)
sub_district_nameDohad 11.795**
(5.108)
sub_district_nameFatepura 7.795**
(3.818)
sub_district_nameGarbada 12.359**
(5.673)
sub_district_nameJhalod 11.759***
(3.826)
sub_district_nameLimkheda 18.094***
(3.464)
Constant 7.588
(5.107)
Observations 691
R2 0.095
Adjusted R2 0.081
Residual Std. Error 20.535 (df = 679)
F Statistic 6.495*** (df = 11; 679)
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.