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official statistic

Pork liempo retail price (PSA)

Monthly national average for fresh liempo, the dearest of the four cuts PSA prices and the one that moves most with import volume.

Current monthly Machine-retrieved PHP/kg, PSA retail pork liempo

Download this series

What this series says

Computed from the rows during the build, over live rows only — a withdrawn figure is one this site could not stand behind, and reprinting it as a record high would be republishing it under a different heading.

Latest

349.10

1.3%

2026-07. PHP/kg, PSA retail pork liempo.

Highest

388.15

2025-06

Lowest

222.28

2018-01

Range

165.87

Highest minus lowest, across every published row.

Coverage

100%

103 of 103 rows carry a figure.

Span

8y

2018-01-31 to 2026-07-31

Freshness budget

90d

A documented override, not the rule. Publication lag is not cadence: the source publishes a period well after it ends, and the reading then ages a whole refresh interval before the next fetch can replace it. 90 days sits above the worst healthy observation and below an outage.

Last read

2026-08-21

The last date somebody actually opened the source behind these rows.

Every published row

Pork liempo retail price (PSA)

PHP/kg, PSA retail pork liempo

250.00300.00350.00396.44213.992018-012026-072019-092021-062023-022024-11

Reading it: the line breaks wherever the source published no figure, and each of those runs is shaded. The vertical axis is fitted to the data and both bounds are labelled; it does not start at zero, because ₱150 to ₱260 on a zero-based axis is a flat line and a fitted one is the same fact made legible.

Rows, blanks and columns

Coverage

103 rows, 2018-01-31 to 2026-07-31. 103 carry a figure.

Which optional columns it carries

Beyond the period, the value, the source and the access date, which every row in this archive has. Counted from the rows, so a column that stops being filled stops being listed.

  • first_seen — 103 rows. the date this archive first held a row for that key, set once.
  • receipt_id — 103 rows. the content-addressed receipt proving which document it came from.

Freshness

The newest figure is 22 days old, inside its 90-day budget.

A documented override, not the rule. Publication lag is not cadence: the source publishes a period well after it ends, and the reading then ages a whole refresh interval before the next fetch can replace it. 90 days sits above the worst healthy observation and below an outage.

Whose survey, read how, out of which document

official statistic

PSA OpenSTAT — Philippine Statistics Authority statistical database

Every row carries the exact page or document it was read from, and the date somebody opened it — not just the agency. Those URLs are in the download, one per row, because "PSA OpenSTAT — Philippine Statistics Authority statistical database" is not a citation anybody can follow.

How it was retrieved

A PXWeb query against PSA OpenSTAT. The table is addressed by its full path, and every dimension this series pins names the code AND the label that code must still read. Both are re-read from the live table's own metadata before anything is written, and a label that has moved refuses the run instead of returning a different commodity at a believable peso figure.

Field Value What guards it
Table 2M/2018NEW/0042M4ARN09 The full path from DB/ down, never the basename: 0042M4ARN09.px exists under two folders, one stops in 2021 and the other runs to 2026, and nothing in a response says which answered.
Commodity 6 — "FRESH PORK, LIEMPO, 1 KG" The label is re-read on every run. A code that changed meaning refuses.
Units peso per kilogram PSA's own PX header, verbatim. Two production tables one geography level apart declare "metric ton, liveweight" and "metric ton"; reading the second as the first would put a claim on this site the source does not make.
Period Period · the reading covers a month and the row is dated its last day The dimension is resolved by name, never by position, and the live value labels have to look like the style declared here.
Geography geolocation 000000000 Codes in the "retail" family. PSA runs two schemes that are not translatable by arithmetic, so a code is only ever validated inside its own.

The documents behind these rows

1 document were read to build this series, each hashed on the exact bytes received. The newest 1 are below; the rest are on the provenance page . Download one, hash it, and either it matches or the publisher has reissued it.

Document Read on Bytes Rows sha256
scripts/fetch-psa-swine.mjs 2026-08-21 6,171 103 44c94d586872fc3e…

The most recent 12

a year of a monthly series. The whole thing is in the downloads below — this table is the end of it.

Period Value Source read on
2026-07 349.10 2026-08-21
2026-06 353.77 2026-08-21
2026-05 356.91 2026-08-21
2026-04 357.23 2026-08-21
2026-03 352.87 2026-08-21
2026-02 355.59 2026-08-21
2026-01 359.49 2026-08-21
2025-12 359.65 2026-08-21
2025-11 360.41 2026-08-21
2025-10 365.85 2026-08-21
2025-09 370.64 2026-08-21
2025-08 377.52 2026-08-21

All of these rows cite: https://openstat.psa.gov.ph/PXWeb/api/v1/en/DB/2M/2018NEW/0042M4ARN09.px

Four files, free, with attribution

Every row carries its source, its URL and the date somebody actually opened it, and the attribution line is repeated on every row rather than in a header — because the unit of loss is the row, not the file.

File Format Size Rows What is in it
pork-retail-psa-liempo.csv text/csv 36 KB 103 Published rows only, one row per period. Retracted rows are excluded, so an average taken over this file is correct without filtering. Null values are the token NA.
full/pork-retail-psa-liempo.csv text/csv 38 KB 103 Every row this archive has ever held, including withdrawn ones, with a status column and the retraction date and reason. Use this to audit the archive, not to compute on.
pork-retail-psa-liempo.json application/json 45 KB 103 The same rows as the full CSV, as JSON, with the coverage summary and the licence.
pork-retail-psa-liempo.parquet application/vnd.apache.parquet 4 KB 103 The published rows with types: the numeric columns are doubles and a missing figure is a real null rather than the NA token a CSV has to write.

Sizes: the real ones, from the same call that produced the bytes the endpoint serves. There is deliberately no Parquet of the full file — the withdrawn rows are the ones nobody may compute on without looking.

Or the whole archive at once

Every series stacked under one schema, typed, with real nulls. It is not this series — kept in its own block so nobody takes the whole archive by mistake.

baboyph-industry.parquet

Please link back

Attribution is the only condition, and it is what keeps a figure traceable once it has been copied twice.

Plain text

Baboy PH state-of-the-industry archive, series "pork-retail-psa-liempo". CC BY 4.0. https://baboyph.com/data/pork-retail-psa-liempo

BibTeX

@misc{baboyph-pork-retail-psa-liempo,
  title        = {Pork liempo retail price (PSA)},
  author       = {{Baboy PH}},
  howpublished = {\url{https://baboyph.com/data/pork-retail-psa-liempo}},
  note         = {PHP/kg, PSA retail pork liempo. CC BY 4.0.},
  urldate      = {2026-08-21},
}

Straight at the data

https://baboyph.com/data/pork-retail-psa-liempo.csv

Licence: CC BY 4.0. The figures themselves are official statistics published by the agencies named above; what this archive adds is the retrieval, the provenance on every row, and the refusals.