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Porter County, IN — Clothing stores Saturation

How many clothing stores exist per person present — residents plus daytime workers — by ZIP code, compared with the U.S. average. Establishment data: Census ZBP 2023. Population: ACS 2024 5-year. 10 ZIP codes analyzed.

Includes: Family clothing stores · General apparel shops. Counted together because official statistics use one 448140 code.

Not enough published data to rank this market: 9 of 10 ZIP cells are withheld (each 0–2 businesses). The county total is somewhere between 4 and 22.

Why a range: Census does not publish a ZIP-by-industry count when that ZIP has 0–2 businesses. 9 ZIP cells in this county are withheld, 8 of them with residents. Each could hold 0, 1, or 2 businesses: counting them all as 0 gives the low end, counting them all as 2 gives the high end — the data cannot say where the truth sits. The density range uses only the populated cells, since ZIPs without residents are excluded from per-person rates. How ranges work

Range spans the U.S. rate   Porter County clothing stores — 30–148% of the U.S. rate

4 clothing stores are counted in Porter County — 0.2 per 10,000 people present (residents + daytime workers), 30% of the U.S. rate of 0.7.

Measured supply density is highest in 46383 (Valparaiso) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 46383 (Valparaiso).

Census County Business Patterns (2023) puts the county-wide count at 4 establishments, including locations in ZIP codes that do not map to a ZCTA — so it can run slightly above the sum of the ZIP rows on this page. It is annual, so it lags more than QCEW.

Measured density: Porter County sits at 30% of the U.S. rate for clothing stores. 8 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 30% and 148% of the U.S. rate. Why. The highest measured density is in 46383; the lowest measured density is in 46383.

This is a supply-side read: it counts existing clothing stores and the people present, not foot traffic, income, rent, or whether locals want more. Treat low density as a question to check, not an answer.

Clothing stores
4–22
published count; upper bound counts each withheld ZIP cell as 2 (9 cells) (2023)
Per 10,000 present
0.2
residents + daytime workers
U.S. average
0.7
per 10,000 present
County index
0.30×
vs. U.S.
Latest year (CBP)
4
2023 — $3M annual payroll
Residents
167,541
9 ZIPs with data
Workers
55,427
jobs located in county

Is the area growing?

Population
175,860
Census PEP, July 1 2024
Change since 2020
+1.5%
+2,522 people
Net migration 2024
+755
international +206, domestic +549
Jobs located here
62,218
LODES 2022, −3.1% since 2019

Porter County had an estimated 175,860 residents on July 1, 2024 — 1.5% more than in 2020 (+2,522). In the latest year it gained 571 people: births minus deaths −183, international migration +206, domestic migration +549. Components are published separately and may not sum exactly.

62,218 jobs were located in the county in 2022 (−3.1% since 2019), and 78,319 employed residents lived there (−2.6% since 2019). LODES counts wage and salary jobs covered by unemployment insurance plus federal jobs; it excludes the self-employed and military, and counts jobs rather than unique people. 2019→2022 spans the pandemic, so read it as one change, not a trend.

Population and migration say whether the customer base is growing. They do not say whether people want another business of this type. Definitions and limits →  ·  Full county detail →

ZIP gaining residents
2015–19 → 2020–24
Change
46304 Chesterton
+11.7%
46368 Portage
+4.2%
ZIP losing residents
2015–19 → 2020–24
Change

No ZIP had a statistically significant decrease.

ACS 5-year estimates for 2015–2019 and 2020–2024. Only ZIPs with at least 2,000 residents in both windows and a change larger than the survey margin of error (90%) are listed — small ZIPs move a lot on paper without a real signal.

Nonemployer businesses

Not shown. Census now groups clothing with clothing accessories (NAICS 45811); a family-clothing-only nonemployer count is not published.

Census Nonemployer Statistics 2024 (NAICS 2022). We do not approximate this figure.

Saturation map

Each ZIP area is shaded by its density of this business type per person present (residents + workers) vs. the U.S. average. Click any ZIP to zoom to its boundary, see its numbers, and switch to aerial imagery. Individual mapped shops appear as dots at street level — Show locations zooms you in to them (scroll or double-click to zoom).

Basemap:
Under 50% 50–100% 100–150% 150–250% 250%+ 0–2 (not published) / no data ZIP total (dot size) Mapped shop (OpenStreetMap, street level)

Map data © OpenStreetMap contributors, tiles by OpenFreeMap.

White dots are ZIP totals from the official Census count — the bigger the dot, the more clothing stores in that ZIP. They are aggregated, not individual shops. Turquoise dots are individual locations mapped in OpenStreetMap, shown only at street level; they are crowd-sourced and indicative, may be incomplete, and do not equal the official counts. Only the official ZIP totals feed the saturation index.

Market trend

Number of clothing stores in Porter County across 2015–2023, on a consistent set of ZIP codes present in every year — so changes are real, not ZIP-boundary artifacts. 2015/2018 are pre-pandemic baselines; 2020/2021 are COVID-distorted.

0
2015
0
2018
0
2020
0
2021
0
2022
0
2023

Highest measured density

ZIP
vs. U.S. average
Index
46383 Valparaiso
108%

Lowest measured density

ZIP
vs. U.S. average
Index
46383 Valparaiso
108%
Low measured density is not evidence of opportunity. A ZIP with few clothing stores may simply lack foot traffic, retail space, or demand. We rank only residential and mixed ZIPs here; employment hubs and visitor destinations are listed separately below. ZIPs where Census did not publish a count (0–2 businesses) are not ranked: they may be the least served of all, but the data cannot tell 0 from 1 or 2. Verify those locally.

All ZIP codes

Click a column header to sort. Index = clothing stores per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersClothing stores Per 10kIndexStatus
46383Valparaiso 42,18323,266 4 0.7 108% Above average
46301Beverly Shores 65053 0–2 — — Not published
46302Boone Grove 2943 0–2 — — Not published
46304Chesterton 28,30712,975 0–2 — — Not published
46341Hebron 10,0481,199 0–2 — — Not published
46347Kouts 4,951576 0–2 — — Not published
46368Portage 40,30113,281 0–2 — — Not published
46384Valparaiso —70 0–2 — — Not published
46385Valparaiso 40,8564,013 0–2 — — Not published
46393Wheeler 21621 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Valparaiso

The numbers above tell you how the market looks. To find a specific storefront, these marketplaces list available retail space for lease.

LoopNet
Largest commercial marketplace
Browse Valparaiso retail space →
Crexi
Free listings + market data
Browse Valparaiso retail space →
CityFeet
Retail space for lease
Browse Valparaiso retail space →

Open vacancy data (actual empty units) is only published by some cities; where it exists we show it directly. Listings above are third-party.

Census withholds some ZIP-by-industry cells to protect small businesses. 0–2 means the cell was not published (Census publishes industry counts only at 3+ per ZIP), so the ZIP is left unranked rather than counted as zero. ~ means the count is estimated from the broader industry group and can be off by a business or two.

Follow Porter County and clothing stores

When a data vintage changes or a section of this report is revised, we post it to a public update feed. No email address, no account, no tracking — and nothing is sent unless something actually changed.

Subscribe to updates (RSS) How these numbers are built →

Methodology & sources

Establishments. U.S. Census ZIP Code Business Patterns (ZBP 2023), NAICS 448140 — family clothing stores. Counts establishments with paid employees. ZBP is published annually with a ~2-year lag.

Fresh county signal. This industry has no clean QCEW series, so the freshest county signal is Census County Business Patterns 2023: 4 establishments and $3M in annual payroll county-wide. This count includes locations in ZIP codes that do not map to a ZCTA, so it can be slightly higher than the sum of the ZIP rows. CBP is annual and slower than QCEW. It cannot be broken down by ZIP.

Population. U.S. Census American Community Survey 2024 5-year ZCTA population (table B01003). Workers are the ZIP's total employment from the same 2023 ZBP file.

Demand ("people present"). Demand comes from residents and daytime workers: residents + 0.5 × workers. This is the single documented assumption in the model and can be tuned.

Index. index = (ZIP establishments ÷ ZIP demand × 10,000) ÷ the U.S. average for this industry (0.69 per 10,000 present). It is a supply-side density measure; it does not capture income, rent, tourism, or whether locals actually want more.

Read the full methodology →  ·  Data sources & vintages →

BizGapMap — free, no-login small-business saturation reports for major U.S. counties. Built entirely from public U.S. Census, BLS, and IRS data (ZBP 2023, ACS 2024 5-year, PEP 2024, LODES, QCEW, IRS SOI). No forecasts, no revenue guesses — withheld cells are marked, and the few derived counts are labelled as estimates.