NYCHA Climate Hazard Analysis

Methodology Overview

What This Analysis Does

This analysis evaluates climate risk across all 335 New York City Housing Authority (NYCHA) developments. It combines information about environmental hazards (flooding and extreme heat), the physical and demographic vulnerability of each property, and existing mitigation measures to produce a composite Risk Index that helps prioritize climate adaptation investments.

Each property receives a score from 0 to 1 for every metric, where higher values indicate greater hazard, vulnerability, or risk. Properties are then ranked and classified into HIGH, MEDIUM, and LOW tiers (thirds of the ranked list).

Each development is also classified by its physical typology: High-Rise or Low-Rise (based on a mean building height threshold of 60 feet, approximately 6 stories) and Campus or Building (based on whether the development contains multiple buildings or a single structure).

The Risk Framework

Risk is calculated using a standard framework adapted from climate adaptation planning:

Risk = Hazard Exposure × Vulnerability − Mitigation

This means a property can have high hazard exposure but lower risk if its buildings are less vulnerable or if mitigation measures are already in place.

Hazard Exposure
×
Vulnerability
Mitigation
=
Risk

This formula is applied independently for each of four climate hazard domains, and the results are combined into a single Risk Index (see weighting below):

Coastal & Tidal Flooding

Storm surge, sea level rise, and tidal inundation from the ocean and tidal waterways.

Stormwater Flooding

Inland flooding from overwhelmed drainage systems during heavy rainfall.

Extreme Heat

Urban heat island effects from solar radiation, building density, and impervious surfaces.

Groundwater Flooding

Rising water tables that can damage foundations and below-grade infrastructure.

The sections below explain each component of the framework — Hazard, Vulnerability, Mitigation, and Risk — broken down by domain.

How Scores Are Calculated

Every data input is first converted to a 0–1 scale so that different types of information (yes/no flags, numeric measurements, categorical timelines) can be compared and combined:

These normalized inputs are then combined using weighted averages into sub-indices, and sub-indices are combined into the four main indices described below. A complete listing of all data inputs, encoding methods, and weights is available in the Technical Documentation.

Hazard Hazard Index

The Hazard Index measures how exposed each property is to climate-related hazards, regardless of building condition or mitigation. It is an equal-weighted average (25% each) of four domain sub-indices:

Coastal & Tidal Flooding

Combines four inputs with weights reflecting how certain and imminent each data source is:

Stormwater Flooding

Combines three time-horizon scenarios, weighted toward current conditions:

Extreme Heat

Combines a direct measurement of summer surface temperature with three physical characteristics of each property:

Solar radiation, building height, and outdoor temperature rank are weighted equally to balance physical proxies for heat-retention potential with direct observational measurement of campus surface temperature.

Groundwater Flooding

Based on a single measurement: depth to groundwater at each property. Shallower water tables mean higher hazard. Depths of 16 feet or more are treated as having no groundwater hazard (based on USGS HERA thresholds). The depth value is inverted and scaled so that the shallowest property scores 1 and the deepest scores 0.

Vulnerability Vulnerability Index

The Vulnerability Index measures how susceptible each property is to damage or harm from the hazards it faces. It is an equal-weighted average (0.25 each) of four domain sub-indices: Coastal/Tidal, Stormwater, Heat, and Groundwater. Heat and Groundwater vulnerability are only evaluated when the corresponding hazard is present — if a property has no exposure, its vulnerability for that domain shows as “Not applicable” and is excluded from the per-site average.

Coastal & Tidal Flood Vulnerability

Vulnerability is measured by two factors that together capture how many buildings on a property are at risk from coastal flooding:

The coastal BFE is taken from FEMA’s Preliminary Flood Insurance Rate Map (PFIRM) — specifically the STATIC_BFE field on FEMA AE zones, which are the regulatory 1%-annual-chance floodplains with an assigned base flood elevation. For each development, we use the maximum STATIC_BFE from overlapping AE zones; if no AE zone overlaps the development, we use the STATIC_BFE of the nearest AE zone (“closest to development” per NYCHA’s methodology). The same FEMA BFE value is then combined with different freeboard buffers to produce the 2050 and 2080 DFEs:

DFE2050 = FEMA PFIRM BFE + 40″ freeboard
DFE2080 = FEMA PFIRM BFE + 52″ freeboard

Both buffers are adopted from the NYC Climate Resiliency Design Guidelines v4.1, Table 5. The 12″ differential between the 2050 and 2080 DFEs reflects additional projected sea-level rise between those horizons. Sites with no FEMA AE zone anywhere nearby have no regulatory reference elevation and are shown as N/A.

Each scenario’s DFE is only displayed when the development is exposed in that horizon (i.e. intersects the 2050 or 2080 coastal surge polygon respectively). A site exposed only in the 2080 scenario will show only the 2080 DFE; the 2050 line is hidden.

Basement elevation is estimated as grade elevation minus 10 feet, a conservative assumption applied universally pending availability of site-specific data.

Stormwater Flood Vulnerability

Uses the same two-factor approach as coastal vulnerability:

The stormwater BFE is the highest ground elevation (NAVD88) on the campus exposed to stormwater flooding — i.e., the top of the modeled inundation surface on the development. Elevations are sampled from a high-resolution LiDAR DEM within the stormwater flood-zone intersection. The stormwater DFE adds a 24-inch (2 ft) freeboard buffer above the BFE:

Stormwater BFE = max(NAVD88 ground elevation on campus within the stormwater flood zone)
Stormwater DFE = BFE + 24″ freeboard

More buildings with inhabited floors or basements below this level = higher vulnerability.

Heat Vulnerability

Based on resident demographics, since heat-related health impacts disproportionately affect certain age groups:

Groundwater Vulnerability

Building elevation data cannot reliably capture below-grade infrastructure condition, so groundwater vulnerability is estimated from building age as a proxy. Only properties with actual groundwater hazard (depth shallower than 16 feet) receive a vulnerability score; properties over deep groundwater are marked “Not applicable.”

Building age is evaluated on a continuous range across the NYCHA portfolio — the same min-max normalization used for groundwater depth, just in reverse direction. The oldest development in the portfolio scores 1.0 (highest vulnerability), the newest scores 0.0, and every development in between is placed on that scale by age. Age is derived from the Development Data Book’s completion-date field. This mirrors the groundwater-depth encoding (shallowest → 1.0, deepest → 0.0) so both hazard and vulnerability vary continuously across the portfolio rather than being bucketed.

Mitigation Mitigation Index

The Mitigation Index measures what protective measures are already in place at each property. Higher mitigation scores mean more protection is present, which reduces the final risk score. Mitigation is only evaluated for properties exposed to the corresponding hazard.

Coastal & Tidal Flood Mitigation

Three factors, with post-Sandy resilience investments weighted most heavily:

Stormwater Flood Mitigation

Four factors combining post-disaster resilience work, dedicated stormwater programs, and cross-domain credit from coastal mitigation:

Heat Mitigation

Two equally weighted (50/50) factors:

Groundwater Mitigation

Three factors that reduce vulnerability to chronic groundwater intrusion:

Risk Risk Index

The final Risk Index combines hazard, vulnerability, and mitigation into a single score for each property. Rather than simply multiplying the three overall indices together, risk is calculated independently for each domain and then averaged. This ensures that each type of climate hazard contributes meaningfully to the final score.

How Domain-Level Risk Is Calculated

For each of the four domains:

  1. Raw risk = Hazard sub-index × Vulnerability sub-index
  2. Adjusted risk = Raw risk × (1 − Effectiveness × Mitigation score)

The mitigation effectiveness controls how much protection mitigation can provide. It varies by domain to reflect the real-world impact of different types of interventions:

DomainMax Mitigation ReductionRationale
Coastal/Tidal 90% Engineered flood barriers and elevated equipment are highly effective at preventing flood damage
Stormwater 90% Green infrastructure, cloudburst measures, and resilience investments significantly reduce stormwater impacts
Heat 60% Cool roofs and cooling centers reduce heat risk but cannot fully eliminate exposure
Groundwater 90% Below-grade waterproofing, foundation repairs, elevated critical equipment, and post-Ida drainage retrofits substantially reduce chronic groundwater intrusion impacts

The domain-level adjusted risks are then combined as a weighted average to produce the final Risk Index. Per NYCHA direction, coastal and stormwater flooding carry the most weight, and groundwater is weighted 0% — it does not contribute to the Overall Risk score. Groundwater hazard, vulnerability, mitigation, and per-domain risk are still calculated and shown for reference:

DomainWeight in Risk Index
Coastal/Tidal Flooding50%
Stormwater Flooding40%
Extreme Heat10%
Groundwater Flooding0% — reference only, excluded from Overall Risk

HIGH / MEDIUM / LOW Classification

Properties are ranked from 1 (highest/worst) to N (lowest/best) for the Risk Index and each sub-index. Rankings are divided into three tiers:

For flood-related sub-indices (coastal, stormwater, and groundwater), only properties with actual hazard exposure are ranked. Properties with zero exposure are excluded from the ranking entirely and shown as "N/A" rather than being given a misleading low rank.

What this means in practice: A property with high coastal flood hazard but strong Sandy- or IDA-funded mitigation may see its coastal risk reduced by up to 90%. Heat mitigation is capped at 60% because cool roofs and cooling centers cannot fully eliminate heat exposure. Groundwater risk is similarly eligible for up to a 90% reduction where Sandy, IDA, or elevated-equipment mitigation is in place. The final Risk Index reflects the combined picture across the coastal, stormwater, and heat domains; groundwater is shown for reference but is excluded from the Overall Risk score.

Conditional Logic

Vulnerability and mitigation scores are only evaluated when the corresponding hazard is actually present at a property. For example:

This prevents properties from appearing artificially low-risk simply because they lack the infrastructure to evaluate for a hazard they do not face.

Key Assumptions and Limitations

Core Assumptions

Limitations

Outputs

The analysis produces two primary deliverables:

Updating the Analysis

The analysis pipeline is designed to be re-run as conditions change. Input datasets can be replaced in the project directory and the pipeline re-executed to produce updated results. Anticipated update scenarios include:

Specific procedures for each of these update types are documented in the Technical Documentation.