Allergy Equity · NYC
A place-based exploratory study

Trees, pollen potential, and who lives nearby.

My everyday geography connects New York City with the wider NYC–Westchester urban–suburban corridor. The corridor motivates the question; NYC is the analytical case because its individual-tree census and neighborhood data can be compared at one consistent scale.

This is not an allergy prediction or patient count. It is a reproducible way to ask how historical planting choices, mature trees, neighborhood conditions, and child population share overlap—and how a future corridor study could be designed.

01 · Distribution

What is distributed where?

The pattern is not simply “more disadvantage, more tree-pollen potential.” Large, mature, historically planted taxa shape the potential surface, while neighborhoods with a high share of children form a partly different geography.

652,168living street trees in the 2015 census
172,438trees in NYC-priority allergenic taxa
556high-potential / high-child-share Tracts
19.5%median tract share under age 18
Tree-potential pattern

Large legacy taxa pull the surface toward Brooklyn and Queens.

London planetree (87,014 trees) and pin oak (53,185) are both NYC-priority taxa in this screen. Among the top quarter of Tracts by potential, 290 are in Brooklyn and 222 in Queens—over nine in ten of that group.

Brooklyn
290
Queens
222
Bronx
29
Manhattan
12
Child-share pattern

The child geography overlaps, but it is not the same geography.

The 556 high-potential / high-child-share Tracts average 25.5% residents under 18 and concentrate in Brooklyn and Queens. The low-potential / high-child-share group averages 26.5% children and is especially concentrated in the Bronx.

Brooklyn · HH
272
Queens · HH
193
Bronx · HH
64
Bronx · LH
196
02 · Association

What correlates—and what does it mean?

These are Census Tract-level spatial associations with ATPI potential density. They generate hypotheses; they do not establish causes, personal exposure, or childhood allergy outcomes.

+0.382

Housing age

The strongest linear association. Older neighborhoods may retain larger, mature legacy trees, but housing age is a proxy—not the age of each tree.

−0.249

Renter-occupied housing share

Higher renter share corresponds to lower ATPI on average. The denominator is occupied housing units—not the percentage of individual residents who rent.

−0.248

Poverty rate

The relationship is also weakly negative. High tree-pollen source potential is not simply concentrated in the poorest tracts.

+0.159

Share under age 18

A weak positive relationship. It supports locating overlap, but not claiming that the tree pattern produced childhood allergy.

The most defensible interpretation is a legacy-landscape hypothesis.

ATPI is more closely associated with older built environments than with composite vulnerability. Long-lived street trees preserve decisions made decades ago; present-day child and socioeconomic geographies have changed around them.

03 · Historical choice

Did NYC select trees with allergy—and children—in mind?

The evidence gives a partial answer. NYC considered health inequity when deciding where to expand trees and increasingly emphasized diversity and resilience. But pollen allergenicity—especially child-specific exposure—does not appear as an explicit systematic criterion in the official selection documents reviewed here.

One species shows how long a planting decision can last.

A 2024 NYC study found that London planetree accounts for 34% of street-tree basal area and estimated 27.7 quadrillion pollen grains annually. The authors conclude that earlier municipal planting increased present-day Platanus pollen production.

34%
of street-tree basal area · London planetree
2007
Diversity was framed mainly as forest resilience.

The municipal forest report warned that London planetree, Norway maple, and Callery pear exceeded common dominance guidelines, emphasizing storms, pests, disease, and other stressors.

2010
Asthma helped determine where more trees were planted.

NYC Greenstreets identified low-canopy, high-asthma neighborhoods for planting. Yet its guidance emphasized large canopy, urban tolerance, and species diversity—not a low-allergen species rule.

Now
Current standards control species and site fit.

NYC Parks considers season, site, location, utilities, form, and environmental tolerances. The published approved list does not present pollen allergenicity or child exposure as a selection field.

Critical reading

NYC’s policy history appears stronger on canopy expansion, asthma-related greening equity, survival, and resilience than on allergen-aware planting. That is not proof allergy was never discussed; it identifies a documented planning gap this project can test.

04 · Action

What does the quadrant analysis add?

It changes the question from “Where is ATPI high?” to “Which response fits this place?” The categories are screening priorities for investigation and investment—not diagnoses.

A

High potential · high child share

Validate with seasonal pollen monitoring near schools and childcare; inventory nearby priority taxa; communicate during pollen periods; diversify replacement planting. Do not remove mature trees indiscriminately.

B

Low potential · low child share

Maintain canopy benefits and use these areas as contextual comparisons. Continue surveillance rather than treating them as no-risk locations.

C

High potential · low child share

Focus on long-term urban-forest management: species diversification, succession planning, and measurement of actual pollen transport before intervention.

D

Low potential · high child share

Tree pollen is not the leading signal. Direct child-health resources toward housing quality, mold, pests, traffic pollution, care access, and other allergy or asthma triggers.

05 · Explore

Enter the research

Each page answers a different question, from individual trees to tract-level associations and decision-oriented quadrants.

Research boundary and interpretation

The outcome is ln(1 + weighted individual-tree potential per land km²), aggregated to 2020 Census Tracts. The child variable is the ACS share of residents under 18. ATPI is a transparent screening index based on species evidence and DBH; it is not observed pollen concentration, personal exposure, allergy prevalence, or clinical risk. Street trees omit park and private-land trees.

01 · Species evidence

Which street trees matter for allergy research?

Tree abundance alone does not equal allergy potential. The first analytical step classifies species by NYC-relevant pollen evidence, then combines that evidence with each tree's size.

NYC-priority evidence

London planetree · 二球悬铃木

Platanus × acerifolia
87,014
living street trees · mean DBH 21.6 in

A mature legacy species with direct NYC pollen-production evidence.

NYC-priority evidence

Pin oak · 沼生栎

Quercus palustris
53,185
living street trees · mean DBH 16.9 in

Oak is an important spring pollen group; count and mature size make pin oak a major contributor.

Evidence must qualify abundance

Not every common tree is equivalent

e.g., honeylocust · Callery pear · zelkova
tree count is not clinical risk

Evidence classes remain visible, but receive different weights.

03 · Index construction

From individual trees to a tract-level ATPI

ATPI means Allergenic Tree Pollen Index. It estimates relative source potential—not airborne concentration, personal exposure, allergy probability, or diagnosed disease.

1 · Species evidence

Assign a documented evidence weight to each species class.

2 · Tree size

Use DBH to estimate basal area.

3 · Spatial aggregation

Sum potential in each tract and divide by land area.

4 · Planning overlay

Compare with neighborhood conditions and child share.

tree potential = evidence weight × ln(1 + basal area / 0.01)

Tract outcome used in analysis: ln(1 + summed tree potential per land km²).

06 · Child priority

Why use children as a planning lens?

Children are not selected because they simply have “weak immunity.” Allergy is an immune response, not a general immune deficiency.

Health and participation

CDC identifies asthma as a leading chronic illness among children and a major cause of school absenteeism.

An actionable setting

Schools and childcare sites create identifiable places for monitoring and action.

A planning variable—not an outcome

The map uses the share of residents under 18, not allergy cases.

Research implication

The quadrants identify where direct pollen monitoring and child-health data would be most informative next.