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Water — Large Utility

Sunbelt Regional Water (synthetic)
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UnitTrack · Disclosure-controlled report

Water — Large Utility

Sunbelt Regional Water (synthetic)
Generated 2026-07-28 21:49 · Grouped by census tract · k = 15
Residual re-identification risk
worst case 5% · Low · smallest published group 19
7/75
Census tract groups published
of meter reads in published output
68
groups withheld by disclosure control
15/15 rule
≥15 contributors; no single customer over 15%
Contents
  1. Disclosure control & data provenance
  2. Consumption profile
  3. Weather & seasonality
  4. Differential privacy (alternative release)
  5. Appendix — policy & citations

Disclosure control & data provenance

Grouping the dataset into 75 census tract groups, 7 were safe to publish and 68 were withheld under the rules below. The exact share published and the grand total are withheld here so the small suppressed group can't be recovered by subtraction; the published output carries a worst-case re-identification risk of 5% (Low).

Data quality & reliability
21600
Loaded reads
0 rejected & quarantined
13.7%
Estimated reads
utility estimate flag
1.9%
Negative usage
rollovers / net metering
3413
High outliers
Tukey 1.5·IQR (1977)

Anomalies are flagged, not dropped; rows failing validation are quarantined as rejected. 1632 reads (7.6%) lack coordinates and are excluded from spatial views.

Methods & authorities
  • Minimum-count (k-anonymity) — 24 groups withheld (triggered by your minimum group size k = 15).
    Sweeney, k-anonymity (2002); ESSnet/Eurostat SDC Handbook (Hundepool et al.) — minimum-frequency / threshold rule · Meets/exceeds: CA CPUC D.14-05-016 ("15/15"); IL 220 ILCS 33
  • (n,k)-dominance — 44 groups withheld (triggered by your top-1 dominance limit p = 15%).
    ESSnet/Eurostat SDC Handbook §4.2 (Hundepool et al.) — sensitive cells in magnitude tables
  • PII handling — identifiers are excluded from the analytic path; only disclosure-controlled aggregates are reported.
    NIST SP 800-122; NISTIR 8053
Published results
Census tract Total consumption (CCF) Contributors Status
Tract 23.04 * Withheld
Tract 9.02 * Withheld
Tract 10 * Withheld
(no location) * Withheld
Tract 23.16 * Withheld
Tract 11.03 * Withheld
Tract 23.23 * Withheld
Tract 13.11 * Withheld
Tract 8.01 * Withheld
Tract 14.01 * Withheld
Tract 23.13 * Withheld
Tract 13.12 * Withheld
Tract 14.03 * Withheld
Tract 23.27 * Withheld
Tract 23.20 * Withheld
Tract 14.02 * Withheld
Tract 9.01 * Withheld
Tract 23.22 * Withheld
Tract 11.01 * Withheld
Tract 8.03 * Withheld
Tract 7 * Withheld
Tract 21.11 44,449 71 Published
Tract 12 * Withheld
Tract 23.15 * Withheld
Tract 8.02 * Withheld
Tract 13.07 * Withheld
Tract 13.08 * Withheld
Tract 23.14 * Withheld
Tract 23.07 24,727 36 Published
Tract 24.47 * Withheld
Tract 24.03 22,504 39 Published
Tract 23.26 * Withheld
Tract 24.48 21,352 69 Published
Tract 23.10 * Withheld
Tract 19.23 * Withheld
Tract 24.11 * Withheld
Tract 23.25 * Withheld
(outside area) * Withheld
Tract 8.04 * Withheld
Tract 11.02 * Withheld
Tract 23.21 * Withheld
Tract 13.09 * Withheld
Tract 16.05 * Withheld
Tract 4.02 * Withheld
Tract 21.09 * Withheld
Tract 3.08 * Withheld
Tract 4.01 * Withheld
Tract 5 * Withheld
Tract 16.02 8,653 33 Published
Tract 13.04 7,847 21 Published
Tract 19.11 * Withheld
Tract 20.03 * Withheld
Tract 16.03 * Withheld
Tract 13.10 * Withheld
Tract 6.07 * Withheld
Tract 6.01 * Withheld
Tract 3.02 * Withheld
Tract 21.07 5,837 19 Published
Tract 3.07 * Withheld
Tract 9800 * Withheld
Tract 3.09 * Withheld
Tract 21.10 * Withheld
Tract 16.04 * Withheld
Tract 24.44 * Withheld
Tract 20.06 * Withheld
Tract 19.10 * Withheld
Tract 24.13 * Withheld
Tract 20.07 * Withheld
Tract 24.43 * Withheld
Tract 23.24 * Withheld
Tract 24.19 * Withheld
Tract 6.08 * Withheld
Tract 6.05 * Withheld
Tract 2.04 * Withheld
Tract 6.06 * Withheld
Explore live →

Consumption profile

Total consumption by census tract — published groups (CCF)
Consumption distribution & inequality
0.869
Gini coefficient
Gini 1912; Lorenz 1905
7.92
Coefficient of variation
std ÷ mean
375
Median use / account (CCF/yr)
across 1800 accounts
277
High outliers
Tukey 1.5·IQR
Lorenz curve — cumulative use vs. cumulative accounts
Percentiles (CCF/yr)
10th165
25th235
Median375
75th729
90th2580
Customer class × month
Total consumption — class (rows) × month (columns); blanks were suppressed (CCF)
Explore distribution live →

Weather & seasonality

0.0%
Weather-sensitive (weather-insensitive)
ASHRAE G14; PRISM
0.0% / 0.0%
Heating / cooling split
of weather-driven use
Weather-normalized annual
restated at normal year
0.668
Model fit (R²)
degree-day regression

E = 310 + -0.3252·HDD  ·  base 65°F · 11 months

Outdoor / irrigation use — 54.1% above winter baseline, peak May
Average monthly consumption vs. winter baseline (CCF)
Winter-baseline (minimum-month) method. EPA WaterSense; AWWA; Water Research Foundation.
Explore weather live →

Differential privacy — an alternative release

An alternative to suppression: instead of hiding small groups, calibrated Laplace noise is added to each count (ε = 1.0, scale b = 1.0) so no individual's presence can be inferred while totals stay useful. Mean absolute error ±1.0 across 30 groups.

True vs. differentially private counts by geography
Laplace mechanism, ε-differential privacy. Dwork, McSherry, Nissim & Smith (2006); Dwork & Roth (2014); US Census Bureau 2020 DAS.
Explore differential privacy live →

Appendix — policy & citations

Disclosure-control settings
Governing standard15/15 rule
Minimum group size (k)15
Dominance (top-n ≤ p)1 ≤ 0.15
Min accounts for models15
GroupingCensus tract
Standards & sources cited
  • k-anonymity — Sweeney (2002); ESSnet/Eurostat SDC Handbook
  • (n,k)-dominance — ESSnet SDC Handbook §4.2; CPUC 15/15
  • Inequality — Gini (1912); Lorenz (1905)
  • Spatial — Moran (1950); Cliff & Ord (1973)
  • Weather / M&V — ASHRAE Guideline 14; IPMVP Option C; PRISM
  • Benchmarking — EPA ENERGY STAR; DOE/EIA CBECS/RECS
  • Load — NREL UMP; BPA M&V Peak Demand
  • Burden — ACEEE; US Census ACS
  • Differential privacy — Dwork et al. (2006); US Census 2020 DAS
  • PII — NIST SP 800-122; NISTIR 8053; NIST SP 800-188
  • Methods & Formulas — every rule & analysis with its formula-as-implemented and primary citation

Synthetic sample data — for demonstration, not distribution. Generated by UnitTrack, a Polish Clover Solutions product · 2026-07-28 21:49.