Address Quality Report

sample-donors.csv · 20 rows · generated 2026-08-17 · RevAddress · revaddress.com

89.5%standardization match rate (of rows with an address)
3undeliverable-shaped rows — 15% could not be standardized against the Census national address inventory
2redundant duplicate rows across 2 clusters
$22estimated annual spend on at-risk + duplicate records (assumptions below)

1 · Standardization quality

Standardized — exact 14
Standardized — corrected 3
Could not standardize 2
Blank address rows 1

“Corrected” = standardized after repair (spelling, abbreviation, formatting). Rows that could not be standardized are the ones most likely to fail in the mail stream — verify or retire them first.

2 · ZIP completeness

GapRowsShare
Missing ZIP entirely00%
5-digit only (no +4)20100%

3 · Duplicate clusters

Address (largest clusters)Cluster size
1600 PENNSYLVANIA AVE NW, WASHINGTON, DC, 205002 rows
11 WALL ST, NEW YORK, NY, 100052 rows

4 rows sit in duplicate clusters; keeping one per cluster retires 2 rows.

4 · Geographic concentration

CountyRowsShare of geocoded
New York County, New York423.5%
District of Columbia, District of Columbia211.8%
Suffolk County, Massachusetts211.8%
Cook County, Illinois211.8%
Los Angeles County, California211.8%
San Francisco County, California15.9%
Travis County, Texas15.9%
San Juan Municipio, Puerto Rico15.9%

5 · Neighborhood income profile

under $35k 1
$35k–$60k 2
$60k–$100k 2
$100k–$150k 6
$150k+ 4

Median household income across matched neighborhoods (Census ACS 5-year, tract level): p25 $76,524 · median $108,158 · p75 $159,556 — sampled over 15 enriched rows.

6 · Vacancy exposure

9 rows sit in census tracts with ≥10% housing vacancy (average tract vacancy across the list: 14.2%). High-vacancy tracts correlate with address churn — treat these rows as the second verification priority after the could-not-standardize set.

7 · What cleaning already fixed

RepairRows
ZIP codes repaired (Excel-stripped zeros, +4 formation)3
State names normalized to USPS two-letter codes8
Whitespace / formatting repaired1
Duplicate rows flagged0

8 · What the bad records cost

$22 / year
estimated spend on mail to undeliverable-shaped and redundant-duplicate records
Assumption (editable — tell us yours and we re-run it)Value
Postage per piece (metered first-class letter)$0.73
Print + materials per piece$0.35
Mailings per year4
At-risk rows (could not standardize + blank)3
Redundant duplicate rows2
Waste per mailing$5.40

Method. Addresses were standardized, geocoded and deduplicated against the U.S. Census Bureau's national address inventory (Public_AR_Current benchmark), with neighborhood enrichment from the ACS 5-year survey at census-tract level. This report describes standardization quality and statistical delivery risk; it is not a postal certification and does not include change-of-address processing. Files and reports are deleted 30 days after upload. Questions — [email protected].