{"id":7746,"date":"2026-04-05T16:52:34","date_gmt":"2026-04-05T21:52:34","guid":{"rendered":"https:\/\/observatorioarmenia.org\/site\/?p=7746"},"modified":"2026-04-05T21:17:50","modified_gmt":"2026-04-06T02:17:50","slug":"observatorio-economico-td-dic-25-a-feb-26-fue-para-armenia-13-0-ibague-13-0-pereira-8-9-manizales-8-6-y-la-nacional-9-4","status":"publish","type":"post","link":"https:\/\/observatorioarmenia.org\/site\/uncategorized\/observatorio-economico-td-dic-25-a-feb-26-fue-para-armenia-13-0-ibague-13-0-pereira-8-9-manizales-8-6-y-la-nacional-9-4\/","title":{"rendered":"Observatorio Econ\u00f3mico: TD dic\/25 a feb\/26 fue para Armenia 13.0%, Ibagu\u00e9 13.0%, Pereira 8.9%, Manizales 8.6% y la nacional 9.4%"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">I. Contexto<\/h2>\n\n\n\n<p>La tasa de desempleo para el trimestre m\u00f3vil diciembre 2025 a febrero 2026 fue para Armenia 13.0%, presentando un aumento de 1.5% respecto al mismo trimestre del a\u00f1o anterior que fue de 11.4%, ocupando la posici\u00f3n n\u00famero cinco entre 23 ciudades (+1.5%, 5\/23). Ibagu\u00e9 13.0%  (-2.0%, 4\/23), Pereira 8.9% (-2.47%, 19\/23) y Manizales 8.6% (-1.85%, 20\/23). La nacional fue de 9.4% (-1.0%).<\/p>\n\n\n\n<p>El desempleo juvenil (15 a 28 a\u00f1os) fue para Armenia 19.6% (+0.2%), Ibagu\u00e9 20.6% (-3.6%), Pereira 14.5% (-2.0%) y Manizales 15.6% (-2.3%).<\/p>\n\n\n\n<p>La informalidad fue para Armenia  42.5% (-2.6%), Ibagu\u00e9 47.1% (-1.2%), Pereira 39.5% (+4.0%) y Manizales 35.7% (+0.9%).<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"736\" height=\"335\" src=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-1.png\" alt=\"\" class=\"wp-image-7749\" style=\"width:664px;height:auto\" srcset=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-1.png 736w, https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-1-300x137.png 300w\" sizes=\"auto, (max-width: 736px) 100vw, 736px\" \/><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">II. <strong>Indicadores laborales<\/strong><\/h2>\n\n\n\n<p>Pereira y Manizales son las ciudades con mejor desempe\u00f1o del bloque. Manizales alcanza la tasa de ocupaci\u00f3n m\u00e1s alta (56.7%) y la tasa de desempleo m\u00e1s baja (8.6%), mientras que Pereira tambi\u00e9n baja notablemente su desempleo de 11.3% a 8.9%. En contraste, Armenia increment\u00f3 su desempleo de 11.4% a 13.0%, igualando a Ibagu\u00e9 como las ciudades con mayor desocupaci\u00f3n de la regi\u00f3n. Ibagu\u00e9, sin embargo, muestra una mejora sustancial: baj\u00f3 del 15.0% al 13.0%.<\/p>\n\n\n\n<p>Tablero Interactivo:<\/p>\n\n\n\n<style>\n* { box-sizing: border-box; margin: 0; padding: 0; }\nbody { font-family: var(--font-sans); }\n.tabs { display: flex; gap: 6px; flex-wrap: wrap; margin-bottom: 1.5rem; }\n.tab { padding: 6px 14px; font-size: 13px; border-radius: 20px; border: 0.5px solid var(--color-border-secondary); background: transparent; color: var(--color-text-secondary); cursor: pointer; transition: all .15s; }\n.tab.active { background: var(--color-background-info); color: var(--color-text-info); border-color: transparent; font-weight: 500; }\n.section { display: none; }\n.section.active { display: block; }\n.metric-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(140px, 1fr)); gap: 10px; margin-bottom: 1.5rem; }\n.metric { background: var(--color-background-secondary); border-radius: var(--border-radius-md); padding: 0.75rem 1rem; }\n.metric-label { font-size: 11px; color: var(--color-text-secondary); margin-bottom: 4px; }\n.metric-val { font-size: 22px; font-weight: 500; color: var(--color-text-primary); }\n.metric-sub { font-size: 11px; color: var(--color-text-secondary); margin-top: 2px; }\n.up { color: #3B6D11; } .down { color: #A32D2D; }\n.city-tabs { display: flex; gap: 4px; margin-bottom: 1rem; flex-wrap: wrap; }\n.ctab { padding: 5px 12px; font-size: 12px; border-radius: 16px; border: 0.5px solid var(--color-border-secondary); background: transparent; color: var(--color-text-secondary); cursor: pointer; }\n.ctab.active { background: var(--color-background-secondary); color: var(--color-text-primary); font-weight: 500; }\n.chart-wrap { position: relative; width: 100%; }\n.legend { display: flex; flex-wrap: wrap; gap: 12px; margin-bottom: 10px; font-size: 12px; color: var(--color-text-secondary); }\n.leg-dot { width: 10px; height: 10px; border-radius: 2px; display: inline-block; margin-right: 4px; }\n.section-title { font-size: 13px; font-weight: 500; color: var(--color-text-secondary); margin-bottom: 0.75rem; text-transform: uppercase; letter-spacing: 0.04em; }\n.insight-box { background: var(--color-background-secondary); border-left: 3px solid #185FA5; border-radius: 0 var(--border-radius-md) var(--border-radius-md) 0; padding: 0.75rem 1rem; margin-bottom: 1rem; font-size: 13px; color: var(--color-text-primary); line-height: 1.6; }\n<\/style>\n\n<div style=\"padding: 1rem 0;\">\n<div class=\"tabs\">\n  <button class=\"tab active\" onclick=\"showTab('indicadores')\">Indicadores laborales<\/button>\n  <button class=\"tab\" onclick=\"showTab('posicion')\">Posici\u00f3n econ\u00f3mica<\/button>\n  <button class=\"tab\" onclick=\"showTab('rama')\">Rama econ\u00f3mica<\/button>\n  <button class=\"tab\" onclick=\"showTab('anual')\">Promedio m\u00f3vil anual<\/button>\n<\/div>\n\n<div id=\"indicadores\" class=\"section active\">\n  <div class=\"insight-box\">En el trimestre Dic 2025 \u2013 Feb 2026, Pereira y Manizales lideran en ocupaci\u00f3n. Armenia y Ibagu\u00e9 registraron las mayores tasas de desempleo del Eje Cafetero.<\/div>\n  <div class=\"city-tabs\">\n    <button class=\"ctab active\" onclick=\"showCity('i','todas')\">Todas<\/button>\n    <button class=\"ctab\" onclick=\"showCity('i','armenia')\">Armenia<\/button>\n    <button class=\"ctab\" onclick=\"showCity('i','ibague')\">Ibagu\u00e9<\/button>\n    <button class=\"ctab\" onclick=\"showCity('i','pereira')\">Pereira<\/button>\n    <button class=\"ctab\" onclick=\"showCity('i','manizales')\">Manizales<\/button>\n  <\/div>\n  <div class=\"legend\">\n    <span><span class=\"leg-dot\" style=\"background:#185FA5\"><\/span>Dic 25 \u2013 Feb 26<\/span>\n    <span><span class=\"leg-dot\" style=\"background:#B5D4F4\"><\/span>Dic 24 \u2013 Feb 25<\/span>\n  <\/div>\n  <div class=\"chart-wrap\" style=\"height:320px;\"><canvas id=\"chartIndicadores\"><\/canvas><\/div>\n  <div class=\"metric-grid\" style=\"margin-top:1.5rem;\">\n    <div class=\"metric\"><div class=\"metric-label\">TD Armenia<\/div><div class=\"metric-val\">13.0%<\/div><div class=\"metric-sub up\">\u2191 vs 11.4% a\u00f1o anterior<\/div><\/div>\n    <div class=\"metric\"><div class=\"metric-label\">TD Ibagu\u00e9<\/div><div class=\"metric-val\">13.0%<\/div><div class=\"metric-sub down\">\u2193 vs 15.0% a\u00f1o anterior<\/div><\/div>\n    <div class=\"metric\"><div class=\"metric-label\">TD Pereira<\/div><div class=\"metric-val\">8.9%<\/div><div class=\"metric-sub down\">\u2193 vs 11.3% a\u00f1o anterior<\/div><\/div>\n    <div class=\"metric\"><div class=\"metric-label\">TD Manizales<\/div><div class=\"metric-val\">8.6%<\/div><div class=\"metric-sub down\">\u2193 vs 10.4% a\u00f1o anterior<\/div><\/div>\n  <\/div>\n<\/div>\n\n<div id=\"posicion\" class=\"section\">\n  <div class=\"insight-box\">El trabajo por cuenta propia es la segunda categor\u00eda m\u00e1s importante en todas las ciudades. Pereira y Manizales tienen la mayor participaci\u00f3n de empleados particulares.<\/div>\n  <div class=\"city-tabs\">\n    <button class=\"ctab active\" onclick=\"showCity('p','armenia')\">Armenia<\/button>\n    <button class=\"ctab\" onclick=\"showCity('p','ibague')\">Ibagu\u00e9<\/button>\n    <button class=\"ctab\" onclick=\"showCity('p','pereira')\">Pereira<\/button>\n    <button class=\"ctab\" onclick=\"showCity('p','manizales')\">Manizales<\/button>\n  <\/div>\n  <div class=\"legend\">\n    <span><span class=\"leg-dot\" style=\"background:#185FA5\"><\/span>Dic 25 \u2013 Feb 26<\/span>\n    <span><span class=\"leg-dot\" style=\"background:#B5D4F4\"><\/span>Dic 24 \u2013 Feb 25<\/span>\n  <\/div>\n  <div class=\"chart-wrap\" style=\"height:380px;\"><canvas id=\"chartPosicion\"><\/canvas><\/div>\n<\/div>\n\n<div id=\"rama\" class=\"section\">\n  <div class=\"insight-box\">Administraci\u00f3n p\u00fablica, comercio y actividades art\u00edsticas concentran la mayor parte del empleo. La construcci\u00f3n cay\u00f3 significativamente en Pereira.<\/div>\n  <div class=\"city-tabs\">\n    <button class=\"ctab active\" onclick=\"showCity('r','armenia')\">Armenia<\/button>\n    <button class=\"ctab\" onclick=\"showCity('r','ibague')\">Ibagu\u00e9<\/button>\n    <button class=\"ctab\" onclick=\"showCity('r','pereira')\">Pereira<\/button>\n    <button class=\"ctab\" onclick=\"showCity('r','manizales')\">Manizales<\/button>\n  <\/div>\n  <div class=\"legend\">\n    <span><span class=\"leg-dot\" style=\"background:#185FA5\"><\/span>Dic 25 \u2013 Feb 26<\/span>\n    <span><span class=\"leg-dot\" style=\"background:#B5D4F4\"><\/span>Dic 24 \u2013 Feb 25<\/span>\n  <\/div>\n  <div class=\"chart-wrap\" style=\"height:520px;\"><canvas id=\"chartRama\"><\/canvas><\/div>\n<\/div>\n\n<div id=\"anual\" class=\"section\">\n  <div class=\"insight-box\">En el promedio m\u00f3vil Mar 2025 \u2013 Feb 2026, Manizales y Pereira mantienen las tasas de ocupaci\u00f3n m\u00e1s altas y el desempleo m\u00e1s bajo de la regi\u00f3n.<\/div>\n  <div class=\"metric-grid\">\n    <div class=\"metric\"><div class=\"metric-label\">TO Armenia<\/div><div class=\"metric-val\">54.1%<\/div><div class=\"metric-sub\">promedio anual<\/div><\/div>\n    <div class=\"metric\"><div class=\"metric-label\">TO Ibagu\u00e9<\/div><div class=\"metric-val\">52.6%<\/div><div class=\"metric-sub\">promedio anual<\/div><\/div>\n    <div class=\"metric\"><div class=\"metric-label\">TO Pereira<\/div><div class=\"metric-val\">56.1%<\/div><div class=\"metric-sub\">promedio anual<\/div><\/div>\n    <div class=\"metric\"><div class=\"metric-label\">TO Manizales<\/div><div class=\"metric-val\">56.8%<\/div><div class=\"metric-sub\">promedio anual<\/div><\/div>\n  <\/div>\n  <div class=\"legend\">\n    <span><span class=\"leg-dot\" style=\"background:#185FA5\"><\/span>TGP<\/span>\n    <span><span class=\"leg-dot\" style=\"background:#3B6D11\"><\/span>TO<\/span>\n    <span><span class=\"leg-dot\" style=\"background:#A32D2D\"><\/span>TD<\/span>\n  <\/div>\n  <div class=\"chart-wrap\" style=\"height:300px;\"><canvas id=\"chartAnual\"><\/canvas><\/div>\n  <div class=\"chart-wrap\" style=\"height:260px; margin-top:1.5rem;\"><canvas id=\"chartAnualPob\"><\/canvas><\/div>\n<\/div>\n<\/div>\n\n<script src=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/Chart.js\/4.4.1\/chart.umd.js\"><\/script>\n<script>\nconst CITIES = ['Armenia','Ibagu\u00e9','Pereira','Manizales'];\n\nconst IND = {\n  labels: ['TGP','TO','TD','TS'],\n  armenia:  { cur:[59.9,52.1,13.0,5.0], prev:[59.9,53.0,11.4,5.7] },\n  ibague:   { cur:[59.4,51.7,13.0,3.9], prev:[59.4,50.5,15.0,5.6] },\n  pereira:  { cur:[59.2,53.9,8.9,4.1],  prev:[60.3,53.4,11.3,3.9] },\n  manizales:{ cur:[62.0,56.7,8.6,4.4],  prev:[60.2,53.9,10.4,3.7] }\n};\n\nconst POS = {\n  labels: ['Obrero emp. particular','Emp. gobierno','Emp. dom\u00e9stico','Cuenta propia','Patr\u00f3n\/empleador','Trab. familiar s\/rem.','Jornalero\/Pe\u00f3n'],\n  armenia:  { cur:[60212,8226,3908,59687,3446,1474,1376], prev:[61155,7585,2894,60538,3699,2087,990] },\n  ibague:   { cur:[122874,15257,4852,68557,3170,3303,924], prev:[118996,15600,4852,63677,4600,2841,1659] },\n  pereira:  { cur:[178793,13454,6439,91081,9201,3167,2108], prev:[190249,10665,4930,81464,7610,1709,1212] },\n  manizales:{ cur:[146248,14799,6019,68068,4968,2616,1402], prev:[141747,10319,4484,64383,5259,1965,1095] }\n};\n\nconst RAMA = {\n  labels: ['Agricultura','Miner\u00eda','Industria mfra.','Luz\/gas\/agua','Construcci\u00f3n','Comercio\/veh\u00edculos','Alojamiento\/comida','Transporte\/almac.','Info\/comunic.','Finanzas\/seguros','Inmobiliaria','Act. profesionales','Admon. p\u00fablica','Act. art\u00edsticas'],\n  armenia:  { cur:[4260,0,12911,2849,9812,28829,11979,8781,4106,2313,3537,12066,22414,14473], prev:[3614,0,13136,1926,11473,30292,14187,9260,3757,3180,3692,11875,19179,13315] },\n  ibague:   { cur:[3338,334,23698,3078,16123,50451,18717,17300,4524,4138,2848,18989,37723,17673], prev:[4533,0,20819,4070,15184,43618,18810,18083,3398,4581,3004,19921,36432,19772] },\n  pereira:  { cur:[6073,436,42297,4076,21014,60304,24431,23142,6738,5715,4908,29221,46914,28975], prev:[4841,564,42666,4587,41352,59395,21974,15233,5801,4789,6565,29730,37639,22703] },\n  manizales:{ cur:[3530,544,33468,3580,17806,43753,20680,14555,6111,4618,3014,29216,39981,23266], prev:[3000,116,36710,4462,14745,46409,17981,12899,5377,6727,2989,28155,30729,18953] }\n};\n\nconst ANUAL = {\n  tgp: [60.2,59.8,61.4,62.1],\n  to:  [54.1,52.6,56.1,56.8],\n  td:  [10.2,12.1,8.7,8.4],\n  pob_ocu: [142882,222002,315106,243683],\n  pob_des: [16212,30500,29944,22430]\n};\n\nlet charts = {};\n\nfunction mkChart(id, cfg) {\n  if (charts[id]) charts[id].destroy();\n  charts[id] = new Chart(document.getElementById(id), cfg);\n}\n\nfunction showTab(name) {\n  document.querySelectorAll('.section').forEach(s=>s.classList.remove('active'));\n  document.querySelectorAll('.tab').forEach(t=>t.classList.remove('active'));\n  document.getElementById(name).classList.add('active');\n  event.target.classList.add('active');\n  if (name === 'indicadores') drawIndicadores('todas');\n  if (name === 'posicion') drawPosicion('armenia');\n  if (name === 'rama') drawRama('armenia');\n  if (name === 'anual') drawAnual();\n}\n\nfunction showCity(section, city) {\n  const map = {i:'indicadores',p:'posicion',r:'rama'};\n  const cont = document.getElementById(map[section] || section);\n  cont.querySelectorAll('.ctab').forEach(t=>t.classList.remove('active'));\n  event.target.classList.add('active');\n  if (section === 'i') drawIndicadores(city);\n  if (section === 'p') drawPosicion(city);\n  if (section === 'r') drawRama(city);\n}\n\nfunction drawIndicadores(city) {\n  const labels = IND.labels;\n  let datasets = [];\n  const cities = city === 'todas' ? ['armenia','ibague','pereira','manizales'] : [city];\n  const cityColors = { armenia:'#185FA5', ibague:'#0F6E56', pereira:'#3B6D11', manizales:'#854F0B' };\n  const cityColorsPrev = { armenia:'#B5D4F4', ibague:'#9FE1CB', pereira:'#C0DD97', manizales:'#FAC775' };\n  const cityNames = { armenia:'Armenia', ibague:'Ibagu\u00e9', pereira:'Pereira', manizales:'Manizales' };\n\n  cities.forEach(c => {\n    datasets.push({ label: cityNames[c]+' Dic25-Feb26', data: IND[c].cur, backgroundColor: cityColors[c], borderRadius: 3 });\n    datasets.push({ label: cityNames[c]+' Dic24-Feb25', data: IND[c].prev, backgroundColor: cityColorsPrev[c], borderRadius: 3 });\n  });\n\n  mkChart('chartIndicadores', {\n    type: 'bar',\n    data: { labels, datasets },\n    options: {\n      responsive: true, maintainAspectRatio: false,\n      plugins: { legend: { display: true, position: 'bottom', labels: { font: {size:11}, boxWidth:10, padding:12 } } },\n      scales: {\n        x: { grid: { display: false }, ticks: { font:{size:12} } },\n        y: { ticks: { callback: v => v+'%', font:{size:11} }, grid: { color: 'rgba(128,128,128,.15)' } }\n      }\n    }\n  });\n}\n\nfunction drawPosicion(city) {\n  const d = POS[city];\n  const labels = POS.labels;\n  mkChart('chartPosicion', {\n    type: 'bar',\n    data: { labels, datasets: [\n      { label: 'Dic 25 \u2013 Feb 26', data: d.cur, backgroundColor: '#185FA5', borderRadius: 3 },\n      { label: 'Dic 24 \u2013 Feb 25', data: d.prev, backgroundColor: '#B5D4F4', borderRadius: 3 }\n    ]},\n    options: {\n      indexAxis: 'y',\n      responsive: true, maintainAspectRatio: false,\n      plugins: { legend: { display: false } },\n      scales: {\n        x: { ticks: { callback: v => (v\/1000).toFixed(0)+'k', font:{size:11} }, grid: { color: 'rgba(128,128,128,.15)' } },\n        y: { grid: { display: false }, ticks: { font:{size:11} } }\n      }\n    }\n  });\n}\n\nfunction drawRama(city) {\n  const d = RAMA[city];\n  mkChart('chartRama', {\n    type: 'bar',\n    data: { labels: RAMA.labels, datasets: [\n      { label: 'Dic 25 \u2013 Feb 26', data: d.cur, backgroundColor: '#185FA5', borderRadius: 3 },\n      { label: 'Dic 24 \u2013 Feb 25', data: d.prev, backgroundColor: '#B5D4F4', borderRadius: 3 }\n    ]},\n    options: {\n      indexAxis: 'y',\n      responsive: true, maintainAspectRatio: false,\n      plugins: { legend: { display: false } },\n      scales: {\n        x: { ticks: { callback: v => (v\/1000).toFixed(0)+'k', font:{size:11} }, grid: { color: 'rgba(128,128,128,.15)' } },\n        y: { grid: { display: false }, ticks: { font:{size:11} } }\n      }\n    }\n  });\n}\n\nfunction drawAnual() {\n  mkChart('chartAnual', {\n    type: 'bar',\n    data: { labels: CITIES, datasets: [\n      { label: 'TGP', data: ANUAL.tgp, backgroundColor: '#185FA5', borderRadius: 3 },\n      { label: 'TO', data: ANUAL.to, backgroundColor: '#3B6D11', borderRadius: 3 },\n      { label: 'TD', data: ANUAL.td, backgroundColor: '#A32D2D', borderRadius: 3 }\n    ]},\n    options: {\n      responsive: true, maintainAspectRatio: false,\n      plugins: { legend: { display: false } },\n      scales: {\n        x: { grid: { display: false }, ticks: { font:{size:12} } },\n        y: { ticks: { callback: v => v+'%', font:{size:11} }, grid: { color: 'rgba(128,128,128,.15)' } }\n      }\n    }\n  });\n  mkChart('chartAnualPob', {\n    type: 'bar',\n    data: { labels: CITIES, datasets: [\n      { label: 'Poblaci\u00f3n ocupada', data: ANUAL.pob_ocu, backgroundColor: '#3B6D11', borderRadius: 3 },\n      { label: 'Poblaci\u00f3n desocupada', data: ANUAL.pob_des, backgroundColor: '#A32D2D', borderRadius: 3 }\n    ]},\n    options: {\n      responsive: true, maintainAspectRatio: false,\n      plugins: { legend: { display: true, position: 'bottom', labels: { font:{size:11}, boxWidth:10, padding:12 } } },\n      scales: {\n        x: { grid: { display: false }, ticks: { font:{size:12} } },\n        y: { ticks: { callback: v => (v\/1000).toFixed(0)+'k', font:{size:11} }, grid: { color: 'rgba(128,128,128,.15)' } }\n      }\n    }\n  });\n}\n\ndrawIndicadores('todas');\n<\/script>\n\n\n\n<h3 class=\"wp-block-heading\">2.1 <strong>Ocupados por posici\u00f3n econ\u00f3mica<\/strong><\/h3>\n\n\n\n<p>En todas las ciudades, las dos categor\u00edas dominantes son el empleo particular y el trabajo por cuenta propia. Pereira concentra el mayor n\u00famero absoluto de ocupados (304.244), seguida de Manizales (244.121), Ibagu\u00e9 (218.936) y Armenia (138.329). El empleo dom\u00e9stico creci\u00f3 en todas las ciudades, especialmente en Pereira y Manizales. El trabajo de patr\u00f3n\/empleador aument\u00f3 en Pereira (+21%), lo que sugiere mayor din\u00e1mica empresarial.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2.2 <strong>Ocupados por rama econ\u00f3mica<\/strong><\/h3>\n\n\n\n<p>Las ramas con mayor absorci\u00f3n de empleo son administraci\u00f3n p\u00fablica, comercio y actividades art\u00edsticas\/recreativas. El hecho m\u00e1s llamativo es la ca\u00edda en construcci\u00f3n en Pereira, que pas\u00f3 de 41.352 a 21.014 ocupados (una reducci\u00f3n de casi el 49%), se\u00f1al de una contracci\u00f3n importante en ese sector. Industrias manufactureras tambi\u00e9n muestran leve retroceso en Manizales. Por el contrario, la administraci\u00f3n p\u00fablica creci\u00f3 en todas las ciudades.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2.3 <strong>Promedio m\u00f3vil anual (Mar 2025 \u2013 Feb 2026)<\/strong><\/h3>\n\n\n\n<p>El panorama estructural confirma el liderazgo de Manizales (TO: 56.8%, TD: 8.4%) y Pereira (TO: 56.1%, TD: 8.7%) en el largo plazo, mientras Armenia registra la tasa de desempleo m\u00e1s alta del promedio anual (10.2%) e Ibagu\u00e9 la segunda (12.1%), aunque con tendencia a la baja frente al trimestre puntual del a\u00f1o pasado.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">III. Diagn\u00f3stico por ciudad<\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"736\" height=\"619\" src=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-2.png\" alt=\"\" class=\"wp-image-7750\" style=\"width:840px;height:auto\" srcset=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-2.png 736w, https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-2-300x252.png 300w\" sizes=\"auto, (max-width: 736px) 100vw, 736px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\">IV. Hallazgos trasversales<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"736\" height=\"541\" src=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-3.png\" alt=\"\" class=\"wp-image-7751\" style=\"width:840px;height:auto\" srcset=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-3.png 736w, https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-3-300x221.png 300w\" sizes=\"auto, (max-width: 736px) 100vw, 736px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\">V. Se\u00f1ales de alerta<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"736\" height=\"219\" src=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-4.png\" alt=\"\" class=\"wp-image-7752\" srcset=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-4.png 736w, https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-4-300x89.png 300w\" sizes=\"auto, (max-width: 736px) 100vw, 736px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\">VI. Recomendaciones de pol\u00edtica<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"736\" height=\"421\" src=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-5.png\" alt=\"\" class=\"wp-image-7753\" style=\"width:840px;height:auto\" srcset=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-5.png 736w, https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-5-300x172.png 300w\" sizes=\"auto, (max-width: 736px) 100vw, 736px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\">VII. Matriz de potencial de empleo<\/h3>\n\n\n\n<p>El an\u00e1lisis cruza los datos del trimestre con informaci\u00f3n reciente de la RAP Eje Cafetero, Semana, La Rep\u00fablica y el Plan Regional de Turismo 2023\u20132033. Estos son los hallazgos clave:<\/p>\n\n\n\n<p><strong>Turismo y econom\u00eda naranja<\/strong> es el sector con mayor potencial transversal. Ya representa entre el 3.6% (Caldas) y el 8.6% (Quind\u00edo) del PIB departamental, con m\u00e1s de 8.353 prestadores de servicios tur\u00edsticos registrados a 2024 <a href=\"https:\/\/www.larepublica.co\/especiales\/los-avances-del-eje-cafetero\/turismo-representa-casi-6-del-pib-de-la-region-4236245\" target=\"_blank\" rel=\"noreferrer noopener\">La Rep\u00fablica<\/a>. Las actividades art\u00edsticas ya son la tercera rama m\u00e1s empleadora en Pereira y Manizales, lo que muestra que la demanda de trabajo en este sector es real y creciente.<\/p>\n\n\n\n<p><strong>Agroindustria y caf\u00e9s especiales<\/strong> tienen la base m\u00e1s s\u00f3lida. La regi\u00f3n es responsable del 27% de la producci\u00f3n nacional de caf\u00e9 <a href=\"https:\/\/www.semana.com\/foros-semana\/articulo\/la-region-centro-del-pais-no-se-detiene-destaca-en-turismo-y-produccion-de-cafe-pero-enfrenta-retos-y-desafios-en-otros-temas\/202416\/\" target=\"_blank\" rel=\"noreferrer noopener\">Semana<\/a>, y la tendencia va hacia mayor valor agregado: caf\u00e9 liofilizado, caf\u00e9s especiales con denominaci\u00f3n de origen y la marca regional &#8220;Hecho en el Eje Cafetero&#8221;. Cerca del 35% de la producci\u00f3n del Tolima ya corresponde a caf\u00e9s especiales <a href=\"https:\/\/www.semana.com\/foros-semana\/articulo\/la-region-centro-de-colombia-motor-de-crecimiento-economico-en-2024\/202441\/\" target=\"_blank\" rel=\"noreferrer noopener\">Semana<\/a>, generando ingresos superiores para miles de familias.<\/p>\n\n\n\n<p><strong>BPO, tecnolog\u00eda e inteligencia artificial<\/strong> son la apuesta de futuro. El sector de servicios BPO representa el 3.2% del PIB regional y genera el 3.8% del empleo directo en Caldas <a href=\"https:\/\/www.semana.com\/foros-semana\/articulo\/la-region-centro-del-pais-no-se-detiene-destaca-en-turismo-y-produccion-de-cafe-pero-enfrenta-retos-y-desafios-en-otros-temas\/202416\/\" target=\"_blank\" rel=\"noreferrer noopener\">Semana<\/a>. La RAP tiene un nodo de innovaci\u00f3n activo con foco en IA, y tanto Manizales como Pereira tienen ecosistemas universitarios que alimentan este tipo de empleo formal y calificado.<\/p>\n\n\n\n<p><strong>Log\u00edstica y transporte<\/strong> tienen una ventaja geogr\u00e1fica \u00fanica. El Eje Cafetero es un puente que conecta el occidente con el centro del pa\u00eds a trav\u00e9s del corredor log\u00edstico Bogot\u00e1\u2013Buenaventura <a href=\"https:\/\/www.semana.com\/especiales-editoriales\/articulo\/especial-eje-cafetero\/202300\/\" target=\"_blank\" rel=\"noreferrer noopener\">Semana<\/a>, y el plan regional de log\u00edstica contempla una treintena de proyectos que requieren inversiones cercanas a los 20 billones de pesos en los pr\u00f3ximos 15 a\u00f1os <a href=\"https:\/\/www.eldiario.com.co\/opinion\/contribuyendo-al-desarrollo-regional\/\" target=\"_blank\" rel=\"noreferrer noopener\">El Diario<\/a>.<\/p>\n\n\n\n<p><strong>Construcci\u00f3n<\/strong> tiene potencial de rebote, especialmente en Pereira, donde la ca\u00edda del 49% en ocupados responde a un ciclo puntual, no a una tendencia estructural. La doble calzada Calarc\u00e1\u2013La Paila, pendiente de financiaci\u00f3n, ser\u00e1 el detonante m\u00e1s importante de empleo en infraestructura para toda la regi\u00f3n.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"736\" height=\"290\" src=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-6.png\" alt=\"\" class=\"wp-image-7755\" style=\"width:840px;height:auto\" srcset=\"https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-6.png 736w, https:\/\/observatorioarmenia.org\/site\/wp-content\/uploads\/2026\/04\/GRAFICA-6-300x118.png 300w\" sizes=\"auto, (max-width: 736px) 100vw, 736px\" \/><\/figure>\n<\/div>\n\n\n<p>Referencias<\/p>\n\n\n\n<p>Dane (2026). Empleo y desempleo diciembre 2025 a febrero 2026. <a href=\"https:\/\/www.dane.gov.co\/index.php\/estadisticas-por-tema\/mercado-laboral\/empleo-y-desempleo\">https:\/\/www.dane.gov.co\/index.php\/estadisticas-por-tema\/mercado-laboral\/empleo-y-desempleo<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I. Contexto La tasa de desempleo para el trimestre m\u00f3vil diciembre 2025 a febrero 2026 fue para Armenia 13.0%, presentando un aumento de 1.5% respecto al mismo trimestre del a\u00f1o anterior que fue de 11.4%, ocupando la posici\u00f3n n\u00famero cinco entre 23 ciudades (+1.5%, 5\/23). Ibagu\u00e9 13.0% (-2.0%, 4\/23), Pereira<\/p>\n<div class=\"continue-reading-wrapper\"><a href=\"https:\/\/observatorioarmenia.org\/site\/uncategorized\/observatorio-economico-td-dic-25-a-feb-26-fue-para-armenia-13-0-ibague-13-0-pereira-8-9-manizales-8-6-y-la-nacional-9-4\/\" class=\"continue-reading\">Ampliar informaci\u00f3n<i class=\"ion-ios-arrow-right\"><\/i><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7746","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/posts\/7746","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/comments?post=7746"}],"version-history":[{"count":6,"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/posts\/7746\/revisions"}],"predecessor-version":[{"id":7761,"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/posts\/7746\/revisions\/7761"}],"wp:attachment":[{"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/media?parent=7746"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/categories?post=7746"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/observatorioarmenia.org\/site\/wp-json\/wp\/v2\/tags?post=7746"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}