The price of the houses of Tashkent

This paper examines apartment prices in Tashkent, Uzbekistan, using a dataset of 100 apartment listings collected from OLX.uz. It explores differences in listing prices and price per square meter across selected districts, with additional consideration given to apartment characteristics such as floor area, number of rooms, building age, floor level, and renovation condition. Using descriptive statistical analysis and district-level comparisons, the study investigates variation in residential property prices and identifies patterns that may help explain differences in housing costs across the city. The findings highlight disparities in average prices and prices per square meter among the districts represented in the sample. The study provides a small-scale empirical examination of Tashkent's residential property market and demonstrates the application of data collection, data cleaning, and quantitative analysis to a real-world economic question. Given the sample size and reliance on online listings, the results should be interpreted as exploratory rather than representative of the entire housing market. The research offers a foundation for further investigation using larger datasets and additional explanatory variables.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-18
DOI
https://doi.org/10.5281/zenodo.23450190
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The price of the houses of Tashkent

Sarvar Abdumutolibov
Zenodo (CERN European Organization for Nuclear Research)
Housing Market and Economics
article

The price of the houses of Tashkent

Sarvar Abdumutolibov
article en

Abstract

This paper examines apartment prices in Tashkent, Uzbekistan, using a dataset of 100 apartment listings collected from OLX.uz. It explores differences in listing prices and price per square meter across selected districts, with additional consideration given to apartment characteristics such as floor area, number of rooms, building age, floor level, and renovation condition. Using descriptive statistical analysis and district-level comparisons, the study investigates variation in residential property prices and identifies patterns that may help explain differences in housing costs across the city. The findings highlight disparities in average prices and prices per square meter among the districts represented in the sample. The study provides a small-scale empirical examination of Tashkent's residential property market and demonstrates the application of data collection, data cleaning, and quantitative analysis to a real-world economic question. Given the sample size and reliance on online listings, the results should be interpreted as exploratory rather than representative of the entire housing market. The research offers a foundation for further investigation using larger datasets and additional explanatory variables.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Housing Market and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The price of the houses of Tashkent — Sarvar Abdumutolibov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS