Original data from the current catalog
Hipobuy catalog data: prices, categories, brands and QC coverage
This page analyzes currently published product records that have a valid price and listing link. The figures are calculated from the same catalog used by the product, category, brand and outfit pages.
Published records: 1027 · Included in this report: 1012 · Excluded by the price/link rule: 15
Catalog breakdown
Categories in the current catalog
Counts, price ranges and QC coverage are calculated directly from the published product records.
| Category | Products | Avg. price | Price range | With QC |
|---|---|---|---|---|
| T-Shirts → | 224 | $17.11 | $8.47–$34.55 | 224 |
| Accessories → | 214 | $97.44 | $1.20–$552.54 | 214 |
| Shoes → | 207 | $56.14 | $6.40–$132.83 | 207 |
| Jackets → | 114 | $67.68 | $22.29–$140.94 | 114 |
| Pants & Shorts → | 95 | $20.49 | $8.47–$48.54 | 95 |
| Hoodies & Sweaters → | 79 | $28.39 | $7.78–$58.73 | 79 |
| Headwear → | 34 | $11.88 | $5.53–$24.01 | 34 |
| Other Stuff → | 33 | $22.52 | $2.60–$58.73 | 33 |
| Toy Cars → | 10 | $5.09 | $1.71–$8.47 | 10 |
| Women → | 2 | $13.74 | $7.78–$19.70 | 2 |
Price data
Price-reference distribution
These bands help with budget planning. Every price remains a reference that should be confirmed on the current listing.
Brand data
Largest recognized brand groups
Brands are matched using product names, slugs, tags and known aliases.
Data source
Cite or reuse this dataset
Aggregated category statistics are available as a machine-readable CSV. When publishing or reusing the figures, link to this report as the source.
Report generated (UTC):
This is the response generation time, not a new inspection of every product. The page and CSV can be cached separately; save the downloaded CSV and its timestamp when citing a particular result.
Suggested citationHipobuy Spreadsheet (2026). Hipobuy catalog data: prices, categories, brands and QC coverage. Report generated (UTC): 2026-10-02T06:45:50.528Z. https://www.hipo-sheets.com/reports/hipobuy-catalog-dataTransparency
How the figures are calculated
The report counts published records with a finite positive USD price and a non-empty stored listing link. QC coverage counts records with at least one non-empty QC image reference. Average and median use stored price references, not a guaranteed checkout price.
Scope and counting unit
This is a summary of the Hipobuy Spreadsheet catalog, not a representative survey of every Hipobuy listing. Each published record is one counting unit; separately listed colors count separately. Records without a finite positive USD price reference or a non-empty stored listing link are excluded from every price and QC calculation. Inclusion does not verify current stock. Brand counts describe our catalog and do not measure sales or popularity.
Average, median and price bands
The average is the sum of included prices divided by the number of included records. The median is the middle sorted price, or the mean of the two middle prices for an even count. Every record has equal weight. Bands are defined in USD: below 15, 15 to below 30, 30 to below 60, and 60 or more. On-page currency conversion is approximate; the CSV keeps USD. Shipping, taxes and fees are not included in these product price references.
Calculation example only: prices of $10, $20, $30 and $100 have an average of $40 and a median of $25. These are illustrative inputs, not prices of four selected products.
What QC coverage measures
A record counts as QC-covered when at least one non-empty QC image reference is stored. Coverage is that record count divided by all included records, rounded to a whole percent. This calculation does not check whether an image loads, matches the selected variant or proves quality or authenticity. When reviewing photos, compare the item and color, measurement ruler, labels and relevant close-ups; ask for clearer evidence when a detail is missing.
Current numerator / denominator: 1012 / 1012. For example, 3 covered records out of 4 included records gives 75%; several images of one record still count once.
Three different dates
The generated timestamp records when this response was built. The latest record check is the newest stored editorial check among included records; the latest price check is the newest stored price observation among them. Neither date means every record was checked then. Missing dates remain unavailable, and a price check is not a stock check.
Latest stored price check: 2026-10-02. Method revised: 2026-09-14.
CSV fields and reuse
CSV schema 2 retains the original first 12 column names. snapshot_date now correctly means the UTC generation date; older exports used the newest record check there. Use the appended fields to distinguish those dates. Blank statistics mean no qualifying sample, not a zero price. Empty samples retain one summary row with a blank category. There is one row per category, so repeated overall totals must not be added across rows.
schema_version- Export definition version; this report uses 2.
generated_at_utc- Exact UTC response generation timestamp. snapshot_date is its calendar date.
latest_record_checked_date- Newest valid record-check date within the included sample; blank if absent.
latest_price_checked_date- Newest stored price-check date within the included sample; blank if absent.
active_records- Legacy column name for included records, not confirmed inventory. published_records and excluded_records explain the sample.
category_slug- Stable category identifier; category_products and category_qc_products describe that row only.
price_currency- USD. Price statistics are rounded only for display/export; source records are not changed.
source_url- Canonical report source. Keep this URL, schema version and generated timestamp with a quoted result.