Back to the lesson·Lesson 1 of 8·The ladder is not the source
Four fifths improved, half with service
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What this lesson covers
- The number most WASH reports give
- The ladder the SDG indicator actually uses
- Why the thirty minutes is in the definition
- The rung this survey cannot compute
- Report the distribution, not the top rung
- What comes next
Speaker notes
82.3% of these households are on an improved source and 56.3% have at least basic drinking water service. The twenty-six points between the two are collection time, and they are the whole reason the ladder has rungs.The number most WASH reports give — In Python
import pandas as pd households = pd.read_csv("wash-household-survey-2024.v1.csv") IMPROVED = { # the JMP list, delivered water included "piped-into-dwelling", "piped-into-yard", "public-tap", "borehole", "protected-well", "protected-spring", "tanker-truck", } improved = households["water_source"].isin(IMPROVED) print(f"improved source: {improved.mean():.1%} of {len(households)} households")Speaker notes
Count the households on an improved source, divide by the households surveyed, and publish it as access.The number most WASH reports give — In R
library(dplyr) improved <- c("piped-into-dwelling", "piped-into-yard", "public-tap", "borehole", "protected-well", "protected-spring", "tanker-truck") households |> summarise(improved = mean(water_source %in% improved), n = n())The number most WASH reports give
- 82.3% — It is a correct calculation of a thing nobody asked about
Speaker notes
82.3%. It is a correct calculation of a thing nobody asked about.The ladder the SDG indicator actually uses
Rung Definition Safely managed An improved source on premises, available when needed, and free from contamination Basic An improved source, round trip 30 minutes or less including queueing Limited An improved source, round trip more than 30 minutes Unimproved An unprotected well or spring Surface water River, dam, lake, pond, canal, irrigation channel Speaker notes
The JMP drinking water ladder has four rungs, and the source type only decides which two you are choosing between.The ladder the SDG indicator actually uses — In Python
def ladder(row): if row["water_source"] == "surface-water": return "surface water" if row["water_source"] not in IMPROVED: return "unimproved" minutes = row["round_trip_minutes"] return "basic" if minutes <= 30 else "limited" households["service"] = households.apply(ladder, axis=1) print(households["service"].value_counts(normalize=True).round(3))Speaker notes
SDG indicator 6.1.1 is the safely managed rung. The humanitarian reporting line, and the one most programmes are measured on, is at least basic — safely managed plus basic.The ladder the SDG indicator actually uses — In R
households |> mutate(service = case_when( water_source == "surface-water" ~ "surface water", !water_source %in% improved ~ "unimproved", round_trip_minutes <= 30 ~ "basic", TRUE ~ "limited" )) |> count(service) |> mutate(share = n / sum(n))The ladder the SDG indicator actually uses
Rung Households Share Basic (including on premises) 1,352 56.3% Limited 626 26.1% Unimproved 326 13.6% Surface water 99 4.1% The ladder the SDG indicator actually uses
- At least basic drinking water service: 56.3% — The source-type figure was 82.3%, and every one of the twenty-six points…
Speaker notes
At least basic drinking water service: 56.3%. The source-type figure was 82.3%, and every one of the twenty-six points between them is a household on an improved source it takes more than half an hour to reach and return from.Why the thirty minutes is in the definition
- households collect less water, so quantity falls below the Sphere minimum more often;
- collection is done by women and girls, so the time comes out of school attendance and paid work;
- households supplement from a nearer, worse source, so the recorded source is not the only source.
- A definition that looks bureaucratic usually encodes a finding — Before arguing that a threshold is arbitrary, look for…
Speaker notes
It is not administrative tidiness. A round trip over thirty minutes changes behaviour in ways that are measurable elsewhere in this same file: A definition that looks bureaucratic usually encodes a finding. Before arguing that a threshold is arbitrary, look for the thing it was set to separate.The rung this survey cannot compute — In Python
on_premises = (households["round_trip_minutes"] == 0) tested = households["ecoli_cfu_100ml"].notna() print(f"on premises: {on_premises.mean():.1%}") print(f"water quality tested: {tested.mean():.1%}") print(f"both: {(on_premises & tested).mean():.1%}")Speaker notes
Safely managed needs three conditions and this file supports one of them.The rung this survey cannot compute — In R
households |> summarise( on_premises = mean(round_trip_minutes == 0), tested = mean(!is.na(ecoli_cfu_100ml)) )Speaker notes
27.7% of households have water on premises. Availability when needed is not asked. Freedom from contamination is tested on a third of the sample. So safely managed is not computable here, and the honest report says so rather than reporting on-premises as though it were the top rung. That is the commonest way an SDG figure gets overstated: one of three conditions is measured, and the indicator is published under the name of all three.Report the distribution, not the top rung — Example
Drinking water service level, 2,403 households At least basic 56.3% 1,352 of which on premises 27.7% 665 Limited 26.1% 626 Unimproved 13.6% 326 Surface water 4.1% 99 JMP ladder. Safely managed not computable: availability was not asked and water quality was tested on 33.4% of households.Speaker notes
Every rung, with counts. A report that gives only "56.3% have basic service" hides that a quarter of the population is one threshold away and would move with a nearer water point — which is exactly the group a programme can act on.What comes next
- Water has one ladder and two more are waiting.
Speaker notes
Water has one ladder and two more are waiting. The next lesson does sanitation and hygiene, where the equivalent of the thirty-minute rule is a single boolean column that quietly halves a coverage figure.