Labor Market MX — Findings

ENOE, INEGI · Quarterly, 2005–2026 · National

Updated every time INEGI publishes a new quarter: what changed from the prior quarter and from a year earlier, and how closely this pipeline matches INEGI’s own official bulletin for that same period. Same quality check described on the overview page, laid out here in full instead of a single summary line.

raw = FileAttachment("data/labor-indicators.csv").csv({ typed: true })
validaciones = FileAttachment("data/validations.csv").csv({ typed: true })

datos = raw.map(d => ({ ...d, fecha: new Date(d.anio, (d.trimestre - 1) * 3, 1) }))

nombres = ({
  TPEA: "Labor force participation",
  TD: "Unemployment",
  TIL1: "Labor informality",
  TIL2: "Labor informality (excl. agriculture)",
  TOSI1: "Employment in the informal sector",
  TOSI2: "Informal-sector employment (excl. agriculture)",
  TSUB: "Underemployment",
  TCCO: "Critical employment conditions",
  TDAMPL: "Broader unemployment",
  SUBUTIL: "Labor underutilization"
})

notas = ({
  TCCO: "Likely a rebase of INEGI’s minimum-wage threshold (the bulletin cites a “January 2026 base”); verified correct by independently reconstructing TCCO from raw microdata."
})

serieDe = codigo => datos
  .filter(d => d.indicador === codigo)
  .sort((a, b) => a.fecha - b.fecha)

valorEnPeriodo = (serie, anio, trimestre) => {
  const fila = serie.find(d => d.anio === anio && d.trimestre === trimestre);
  return fila ? fila.valor : null;
}

calcularDeltas = serie => {
  const ultimo = serie[serie.length - 1];
  const trimAnt = ultimo.trimestre === 1
    ? { anio: ultimo.anio - 1, trimestre: 4 }
    : { anio: ultimo.anio, trimestre: ultimo.trimestre - 1 };
  const valorTrimAnt = valorEnPeriodo(serie, trimAnt.anio, trimAnt.trimestre);
  const valorAnioAnt = valorEnPeriodo(serie, ultimo.anio - 1, ultimo.trimestre);
  return {
    deltaTrim: valorTrimAnt != null ? ultimo.valor - valorTrimAnt : null,
    deltaAnual: valorAnioAnt != null ? ultimo.valor - valorAnioAnt : null
  };
}

// Unlike the rest of this series (which leaves color neutral on purpose,
// without implying good/bad), this page does color the direction of
// change -- because it's a scan-many-rows-at-once summary, not a
// case-by-case reading of one indicator. Only the arrow carries color,
// and it's kept pale: coloring the whole value read as too loud and too
// normative (good/bad), which this page shouldn't imply.
formatoDelta = delta => {
  if (delta == null) return html`<span>n/a</span>`;
  if (Math.abs(delta) < 0.005) return html`<span class="delta-flat">no change</span>`;
  const subida = delta > 0;
  const clase = subida ? "delta-arrow-up" : "delta-arrow-down";
  const signo = subida ? "▲" : "▼";
  return html`<span><span class="${clase}">${signo}</span> ${Math.abs(delta).toFixed(2)} pp</span>`;
}

cambiosTrimestre = Object.keys(nombres).map(codigo => {
  const serie = serieDe(codigo);
  if (serie.length === 0) return null;
  const ultimo = serie[serie.length - 1];
  const { deltaTrim, deltaAnual } = calcularDeltas(serie);
  return {
    codigo, nombre: nombres[codigo], valor: ultimo.valor,
    periodo: `${ultimo.anio}-Q${ultimo.trimestre}`,
    deltaTrim, deltaAnual
  };
}).filter(d => d !== null)

ultimoPeriodoValidacion = validaciones.length
  ? `${validaciones[validaciones.length - 1].anio}-Q${validaciones[validaciones.length - 1].trimestre}`
  : ""

ultimasValidaciones = {
  const ultimoAnio = validaciones[validaciones.length - 1]?.anio;
  const ultimoTrim = validaciones[validaciones.length - 1]?.trimestre;
  return validaciones.filter(v => v.anio === ultimoAnio && v.trimestre === ultimoTrim);
}

Quarter-over-quarter changes

html`<table class="data-table">
<thead><tr>
  <th>Indicator</th><th>Latest</th><th>Prior quarter</th><th>Same quarter, year earlier</th>
</tr></thead>
<tbody>
${cambiosTrimestre.map(d => html`<tr>
  <td>${d.nombre}</td>
  <td class="data-table-num">${d.valor}%<span class="data-table-period">(${d.periodo})</span></td>
  <td class="data-table-num">${formatoDelta(d.deltaTrim)}</td>
  <td class="data-table-num">${formatoDelta(d.deltaAnual)}</td>
</tr>`)}
</tbody>
</table>`

Comparison against the official bulletin

Latest validation: . Filled in by hand each quarter, comparing this pipeline against INEGI’s quarterly press release — not the monthly one, which uses a different methodology and isn’t comparable (two separate bulletins, with separate release numbers, come out almost the same day).

html`<table class="data-table">
<thead><tr>
  <th>Indicator</th><th>Official (INEGI)</th><th>Pipeline</th><th>Difference</th><th>Note</th>
</tr></thead>
<tbody>
${ultimasValidaciones.map(v => html`<tr>
  <td>${nombres[v.indicador] ?? v.indicador}</td>
  <td class="data-table-num">${v.oficial}%</td>
  <td class="data-table-num">${v.pipeline}%</td>
  <td class="data-table-num">${v.diferencia_pp.toFixed(2)} pp</td>
  <td class="data-table-note">${notas[v.indicador] || "—"}</td>
</tr>`)}
</tbody>
</table>`

How this is built

Same pipeline and same public repository as the overview page. “Difference” is the absolute gap between this pipeline and the figure INEGI rounds to one decimal in its bulletin — a gap of up to roughly 0.05 pp is rounding, not a sign of error. Quarter-over-quarter and year-over-year changes are computed against the exact matching period, not by row position, so the 2020-Q2 gap (ETOE, not comparable) never produces a change calculated across two quarters of distance. Source: ENOE microdata, INEGI, 2005–2026.