The Cost of Getting By

A readable research brief on wages, rents, and economic pressure.

Plot = require("@observablehq/plot")

Snapshot

This theme is designed for personal research on socio-economic issues: serious without feeling cold, visually forceful without sacrificing readability, and structured for essays that need charts, caveats, and citations to live comfortably together.

NoteCentral Claim

Household stress is rarely caused by one number moving in isolation. The useful question is how wages, housing costs, public services, debt, and local prices combine into lived pressure.

Interactive Pressure Index

Use the controls to test how much each factor contributes to a simple pressure index. Replace the sample data with your own CSV, API output, or computed values as the project grows.

viewof rentWeight = Inputs.range([0.5, 2.5], {
  value: 1.4,
  step: 0.1,
  label: "Rent weight"
})
viewof wageWeight = Inputs.range([0.5, 2.5], {
  value: 1.0,
  step: 0.1,
  label: "Wage protection"
})

data = [
  {year: 2018, rent: 100, food: 100, transport: 100, wages: 100},
  {year: 2019, rent: 106, food: 102, transport: 103, wages: 103},
  {year: 2020, rent: 111, food: 107, transport: 99, wages: 106},
  {year: 2021, rent: 119, food: 115, transport: 112, wages: 111},
  {year: 2022, rent: 131, food: 126, transport: 124, wages: 116},
  {year: 2023, rent: 142, food: 132, transport: 130, wages: 121},
  {year: 2024, rent: 151, food: 138, transport: 134, wages: 126},
  {year: 2025, rent: 158, food: 143, transport: 139, wages: 131}
]

pressure = data.map((d) => ({
  year: d.year,
  "Pressure index": Math.round(((d.rent * rentWeight + d.food + d.transport) / 3 - d.wages / wageWeight) + 100),
  Rent: d.rent,
  Food: d.food,
  Transport: d.transport,
  Wages: d.wages
}))

pressureLong = pressure.flatMap((d) => [
  {year: d.year, metric: "Pressure index", value: d["Pressure index"]},
  {year: d.year, metric: "Rent", value: d.Rent},
  {year: d.year, metric: "Wages", value: d.Wages}
])

Plot.plot({
  height: 420,
  marginLeft: 56,
  marginBottom: 42,
  color: {
    legend: true,
    range: ["#ffd21f", "#ff7a45", "#55f06a"]
  },
  y: {
    grid: true,
    label: "Index, 2018 = 100"
  },
  x: {
    label: null,
    tickFormat: "d"
  },
  marks: [
    Plot.ruleY([100], {stroke: "#5f6470", strokeDasharray: "4 4"}),
    Plot.lineY(pressureLong, {x: "year", y: "value", stroke: "metric", strokeWidth: 3}),
    Plot.dot(pressure, {x: "year", y: "Pressure index", fill: "#ffd21f", r: 4, title: (d) => `${d.year}: ${d["Pressure index"]}`})
  ]
})

What Changed

Rents rose faster than wages across the sample period, so even modest increases in other essentials compound into a sharper household pressure index.

Why It Matters

Headline inflation can flatten the story. Families experience price changes as a budget system, where the least flexible costs usually set the terms.

What To Check

Compare subgroup effects by tenure, household size, gender, disability, migration status, age, and region before drawing policy conclusions.

Reading The Evidence

The theme favors restrained typography, compact chart controls, visible callouts, and a wide article measure. It is meant for research that needs to persuade without shouting.

TipReuse Pattern

Keep the headline claim short, place assumptions next to the chart, and use footnotes for caveats that matter but should not interrupt the reader’s flow.

Next Research Questions

• Which costs are least flexible for the households being studied?
• Are income changes concentrated among already secure households?
• What does the same pattern look like after taxes, benefits, subsidies, and informal support?
• Which policy lever changes the slope rather than only easing the current level?