Sector 27 Building Growth Analysis â€” GreaterRaipur

Key Growth Metrics at a Glance

Satellite-derived growth statistics for a compact Sector 27 study area in Nava Raipur.

4,047

Buildings in 2016

6,422

Buildings in 2023

+2,375

Net New Buildings

6.56%

Mean Presence in 2023

Year-by-Year Building Growth Data

Year	Building Count	New Buildings	YoY Growth %	Presence Mean	Max Height (m)
2016	4,047	-	-	5.16%	44.7m
2017	4,742	+695	+17.2%	5.5%	39.4m
2018	4,875	+133	+2.8%	6.02%	29.2m
2019	5,007	+132	+2.7%	6.34%	37.8m
2020	5,225	+218	+4.4%	6.37%	37.8m
2021	5,557	+332	+6.4%	6.51%	39.4m
2022	6,345	+788	+14.2%	6.35%	47m
2023	6,422	+77	+1.2%	6.56%	40.9m

Construction Timeline and Build-out Phases

Sector 27 growth is easier to understand as three phases: initial activation, pre-pandemic consolidation, and post-2020 infill acceleration.

Phase Reading

2016-2018

Early activation period with approximately 828 net additions. Growth rate is high because the base is still small.

Plotted land starts turning into visible built form.

2019-2021

A steadier consolidation phase added about 682 buildings. This is consistent with sector-level absorption, not speculative spikes.

Infrastructure catch-up and occupancy fill in the grid.

2022-2023

The AOI added about 865 buildings in two years, driven mainly by the 2022 jump and then a flatter 2023 finish.

Acceleration happened, but it did not turn into a broad vertical boom.

Share of Total Growth by Phase

Most of the cumulative gain comes after 2018, which supports a view of Sector 27 as a maturing micro-market rather than a finished one.

What the Numbers Say

Growth is real but controlled: +58.7% over eight years is meaningful for a compact sector AOI.
2022 is the standout year: the biggest addition spike happened in 2022, not continuously every year.
Density grew more than height: the presence signal climbed consistently while max height remained lumpy.
Micro-market maturity is uneven: some edges behave like a ready neighbourhood, others still behave like future supply.

What This Means for Property Decisions

The map is most useful when translated into readiness, pricing, and execution risk rather than just raw building totals.

For End Users

Prefer the north half of the AOI if you care about faster move-in readiness.
Look for continuity in built frontage, not just isolated finished houses.
Use the map with site visits to verify daily-use services are already active.

For Investors

Northwest and southwest pockets may split into yield vs. upside plays.
Price discounts make sense only where build-out is still visibly incomplete.
The flatter 2023 addition number argues against assuming every year will repeat 2022.

Risk Signals

Patchy density can hide incomplete utilities or weak occupancy despite visible construction.
Height spikes from a few assets should not be mistaken for broad commercial maturity.
Local livability still depends on the surrounding sector network, not Sector 27 in isolation.

Data Source and Methodology

Dataset

Google Open Buildings Temporal V1 provides annual building presence and height estimates from satellite imagery. This page uses the exported Sector 27 subset already stored in the project.

Study area: Sector 27, Nava Raipur
Bounding box: 21.1266N to 21.1536N, 81.7712E to 81.7999E
Center: 21.1401N, 81.7855E
Coverage: approximately 1.5 km radius micro-market

View dataset reference

How to Read This Page

Building Count: satellite-derived approximate count from the exported fractional building metric.
Directional Growth Analysis: local quadrant interpretation of the AOI, intended as a practical guide for site visits and pricing checks.
Max Building Height Trend: mean height is corrected using presence mean so non-building pixels do not dilute the number.
What This Means for Property Decisions: good for spotting build-out momentum, but not a replacement for legal title, service, or occupancy due diligence.

Note: the local directional labels are interpreted from the study-area raster footprint and are best treated as micro-market signals, not cadastral boundaries.

Explore the Interactive Sector 27 Map

Toggle between presence and height, move year by year, and inspect the exact satellite overlay used for this report.

Open Interactive Buildings Map

Directional Growth Analysis

This is a sector-scale reading of the same raster data. Rather than city corridors, the analysis breaks the 1.5 km AOI into local edges and infill fronts.

Northwest Edge - Established Frontage

21.1401N to 21.1536N, 81.7712E to 81.7856E

STRONGEST

Likely pattern: earlier occupied blocks, road-facing frontage, and the first wave of completed plots/buildings.

This quadrant most likely captures the mature edge of Sector 27 where occupancy arrived first. Satellite growth here appears less about new street creation and more about filling vacant parcels within an already legible sector grid.

Infill-led

Growth Mode

Low Risk

Servicing Gap

Near-ready

Occupancy Readiness

Signal: if you want the most de-risked purchase inside the AOI, this is the part of the map where construction continuity looks strongest.

Northeast Edge - Sector Core Densification

21.1401N to 21.1536N, 81.7856E to 81.7999E

HIGH GROWTH

Likely pattern: denser block completion and more consistent building footprints across the sector interior.

Compared with the western side, the eastern half looks more like a consolidation zone. The signal is not dramatic sprawl; it is a steady conversion of plotted or partially active land into occupied built-up area.

Stable

Pace

Mid-cycle

Build-out Stage

Residential

Likely Use Bias

Signal: this side fits buyers prioritising a more complete neighbourhood fabric over raw upside.

Southwest Edge - Transition Belt

21.1266N to 21.1401N, 81.7712E to 81.7856E

MODERATE

Likely pattern: partial occupancy, edge conditions, and uneven parcel activation.

The southwest looks like a handoff zone between established blocks and newer supply. Construction appears present, but not as evenly distributed as the north half. That usually corresponds to staggered plot delivery and slower occupancy take-up.

Mixed

Activation

Value

Price Bias

Upside

If serviced

Signal: this is the quadrant to inspect for pricing inefficiencies, but only if access roads and daily-use amenities are already operational.

Southeast Edge - Expansion Reserve

21.1266N to 21.1401N, 81.7856E to 81.7999E

EARLY STAGE

Likely pattern: future-ready plots, intermittent construction, and a weaker continuous built-up signal.

This is the side of the AOI where the map still reads as expansion reserve rather than a fully stitched urban block. Building count still rises, but more slowly and less uniformly than in the northern half.

Lower

Density

Higher

Execution Risk

Longer

Holding Horizon

Signal: the upside case here depends more on future sector completion than on current livability.

Local Growth Zones Map

The AOI is split into four local quadrants for sector-scale interpretation.

Directional Summary

Direction	Growth Character	Property Lens
Northwest	Strongest infill	Best for low execution risk
Northeast	High consolidation	Best for near-term end use
Southwest	Moderate	Selective buying only
Southeast	Early stage	Longer-horizon hold

Growth Trend Charts

The local pattern is steady densification, with one clear acceleration wave in 2022 and limited vertical intensification after that.

Building Count Growth (2016–2023)

The strongest annual addition came in 2022 with about 788 new buildings detected inside the study area.

Year-over-Year Growth Rate (%)

The highest growth rate occurred in 2017 at roughly 17.2%, which is typical of an early planned-sector build-out phase.

Building Presence Density Trend

Presence mean rises from about 5.2% to 6.6%, showing infill more than sprawl.

Max Building Height Trend

Height peaks are episodic, suggesting a few taller structures or institutional blocks rather than broad-based high-rise growth.

Cumulative Growth vs Annual Additions

By 2023, the AOI had added about 2,375 buildings versus 2016, with most of that increment loaded into the post-2020 phase.

Sector 27 - Building Growth Analysis