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G.8Time Series

The plate since 2012, as published: 666 values in 196 series from 97 sources, of which 469 are official, 150 derived and 47 assumptions. They are kept in data/curated/series.csv, one row a value, each with its unit, its mark, its source and a note.

D.5.4, The Plate Over Time: How a Stall's Costs Changed, 2013–2026 tells the story these numbers carry, and the layers table in F.4, Data & Downloads dates every layer between the State and the wok since 1966; neither is repeated here. This section prints the annual values of four groups, rents, fees, prices and real sales, with each value's mark as a letter. Three NEA rent measures sit side by side and must never be drawn as one line. The full file adds item prices, the household surveys, the F&B industry's books and the scheme counts, and keeps months and ranges as published. g8-series.csv

G.8.1Rents, fees and wages

G.8 Time Series: table 1
YearNEA median, non-subsidisedComparable NEA centresOperator-run centresMedian winning bid
20151,250O–––
20161,250O–––
20171,250O–––
20181,250O–2,000O–
20191,250O1,700O2,000O–
20201,250O1,600O2,000O–
20211,250O–––
20221,250O––2,000O
20231,250O1,625O–1,800O
20241,250O1,600O1,700O–
2025–1,450O1,700O–
2026–––1,950D
G.8 Time Series: table 2
YearConservancy, NEA's 27 centresTable cleaning, Amoy StreetCleaner's PWM, F&BStall assistant's PWM
2012140O–––
2013140O–––
2014140O–––
2015140O–––
2016140O–––
2017140O–––
2018140O–––
2019140O–1,201D–
2020140O–––
2021140O–––
2022140O402D1,312O–
2023140O–1,570O1,750O
2024165D402D1,740O1,915D
2025175O–1,910O2,080O
2026175O–2,080O2,220O
Rents, fees and the cleaner's Progressive Wage, 2012–2026$ A MONTH · NEA, MSE, MOM · THREE RENT MEASURES, NEVER ONE LINE (D.5.4)$0$500$1,000$1,500$2,000$2,50020122014201620182020202220242026Cleaner's PWM $2,080Winning bid $1,950Operator-run centres $1,700Comparable NEA centres $1,450NEA median $1,250Conservancy $175OfficialDerived or assumed; dashed where a year is missing or not official
FIGURE G.6 · RENTS, FEES AND THE CLEANER'S PROGRESSIVE WAGE · $ A MONTH · FILLED DOTS ARE OFFICIAL VALUES · D.5.4 READS THEM

G.8.2Prices and real sales

G.8 Time Series: table 3
YearHawker food CPIHawker food CPI, back to 2009Food import pricesRetail food CPIFSI price deflatorElectricity, cents a kWh
201287.4D87.3D99D–87.6D27.9O
201389.1D88.9D––89.4D26.3O
201490.8D91.6D103.2D–91.7D25.6O
201592.6D93.2D100.5D–93.9D21.7O
201694.4D94.9D98D–95.7D18.9O
201796.2D96.5D99.7D–96.8D20.7O
201898.1D98.3D98.5D–98.5D22.9O
2019100O–100D100O100D23.6O
2020101.3D–101.4D–101.3D22.1O
2021102.8D–103.8D–102.7D22.7O
2022108.7D–112.9D–108D28.3D
2023115.3O–113.2D115.8O114.5D28.2D
2024119.2O–116.6D117.2O118.5D29.7D
2025120.7D–120.9D118.5D119.3D27.8D
2026122.8D–115.9D121.5D–28.6D
G.8 Time Series: table 4
YearFSI eating places, volume (2017 = 100)FSI eating places, current $ (2017 = 100)Households' hawker spend, $ a monthMedian full-time pay, $ a month
2012102.8O93.1O––
2013101.1O93.3O––
2014101.7O96.4O––
201597.2O94.2O–3,949O
2016100.0O98.9O–4,056O
2017100O100O–4,232O
201898.8O100.4O–4,437O
2019100.0O103.3O–4,563O
202081.9O85.7O–4,534O
202189.2O94.6O–4,680O
202297.2O108.4O–5,070O
202399.6O117.8O491O5,197O
202498.8O120.9O–5,500O
202598.4O121.2O–5,775O
Prices and plates, 2012–2026INDEX, 2019 = 100 · SINGSTAT · THE FSI SERIES REBASED FROM 2017 = 100 BY US (DERIVED) · HAWKER STALLS ARE NOT IN THE FSI75859510511512520122014201620182020202220242026Hawker food CPI 123FSI deflator 119FSI sales in $ 117Food imports 116FSI plates (real sales) 98OfficialDerived or assumed; dashed where a year is missing or not official
FIGURE G.7 · PRICES AND PLATES · INDEX, 2019 = 100 · HAWKER FOOD CPI TO 2018 FROM THE CHAINED OFFICIAL RATES · FSI: CAFÉS, FOOD COURTS AND OTHER EATING PLACES, HAWKER STALLS EXCLUDED

g8-rents.csv g8-fees.csv g8-prices.csv g8-sales.csv · The rows of the 255 values that D.5.4, The Plate Over Time: How a Stall's Costs Changed, 2013–2026 and the model draw on are marked "core" in the file; the rest are "extended".

This is a working paper for public discussion. Every number in it is an invitation to improve it. Corrections and better data are welcome.