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Colombia macroeconomic monitordata as of 9 Oct 2026

Productive capacity: sectors, labour and regions

Whether the economy produces above or below what it can sustain without generating inflation, and where: by sector, in the labour market and in each department.

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01

Capacity in six measures

Key points
  • The economy is producing +0.3% above capacity by the median of five methods, but slack is uneven.
  • Only 4 of 12 sectors run above trend and unemployment is 0.4 pp below its own. 30 of 33 departments already produce more than in 2019; Cesar, La Guajira, Casanare remain below.
02

Is the economy producing above or below its capacity?

Key points
  • In Q2 2026 the economy produced +0.3% relative to its estimated capacity: it is above, with no slack, which tends to push prices up.
What the economy produces versus its capacity
Distance to capacity0.3%Q2 2026▲ +1.0 pp vs. 1 year ago

?The dotted line is capacity: the most the economy can produce sustainably without creating inflation pressure (like a production possibility frontier that shifts over time). The blue line is what it actually produced. Green: output above capacity (overheating). Orange: below capacity (slack: idle capacity, unemployment). Below, the distance in %.

Source: DANE, seasonally adjusted real GDP (Table 4); own estimate of capacity?Methodology. Capacity (potential GDP) = GDP trend from a real-time Hodrick-Prescott filter (λ = 1,600, one-sided: each quarter only uses data available then), excluding the 2020Q2–2021Q2 shock. Gap = 100 × (ln GDP − ln capacity). A two-sided HP and Hamilton's (2018) method are computed as checks; the three usually agree on the sign. Values in COP (Colombian peso) trillions at 2015 prices per quarter.
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Today the economy produces +0.3% versus its capacity: COP 262 trillion (2015 pesos) in the quarter, against an estimated capacity of COP 261 trillion. Above capacity, firms run at full tilt, labour gets tight and prices tend to rise; below it, there is spare capacity and inflation tends to ease.

Capacity is not observed directly: it is estimated from GDP's trend. It is a guide, not an exact figure; what matters is the direction (whether the gap widens or closes), which is what the cycle clock at the top uses.

03

Which sectors run above or below capacity?

Key points
  • Construction is the sector furthest above trend (+1.9%) and Arts, households and other the furthest below (-4.5%).
  • When few sectors are stretched, growth can continue without pushing up economy-wide prices; pressure concentrates where the gap is positive.
Each sector's gap versus its trend

?Each cell is a sector in a quarter: blue, producing above its trend (no slack); orange, below it (slack). Sectors are ordered by the latest gap.

Source: DANE, quarterly GDP by activity; own calculation?Methodology. Gap = 100 × (ln real level − ln trend), with a one-sided Hodrick-Prescott trend (λ = 1,600) computed excluding 2020Q2–2021Q2: each quarter uses only data available up to then.
Each sector's gap today (Q2 2026)

?Percentage distance between what the sector produces and its trend. Blue: above capacity; orange: slack.

Source: DANE, quarterly GDP by activity; own calculation?Methodology. Latest quarter of each sector's gap versus its one-sided HP trend.
04

How much slack is there in the labour market?

Key points
  • Unemployment (seasonally adjusted) is 9.0% and its trend 8.5%.
  • The ILO composite measure of labour underutilisation, which adds the unemployed, the time-related underemployed and those who want to work but are not searching, stands at 20.1% of the extended labour force (12-month average), versus 21.3% a year earlier.
Unemployment, underemployment and total underutilisation (12-month average)

?Three ILO measures, from narrowest to broadest: unemployment rate; unemployment plus time-related underemployment; and the composite measure, which adds the potential labour force (available people who are not searching).

Source: DANE, Integrated Household Survey (GEIH)?Methodology. Underutilisation indicators from the 19th ICLS (ILO, 2013), national total, not seasonally adjusted, 12-month moving average: UR = unemployed / labour force; LU2 = (unemployed + time-related underemployed) / labour force; LU4 = (unemployed + underemployed + potential labour force) / extended labour force.
Unemployment versus its trend

?Line: seasonally adjusted unemployment rate, quarterly average. Dotted: its trend (Hodrick-Prescott, excluding 2020–2021). Below trend, the labour market is tight.

Source: DANE, seasonally adjusted GEIH; own calculation?Methodology. Quarterly average of the seasonally adjusted unemployment rate and its Hodrick-Prescott trend (λ = 1,600), estimated excluding 2020–2021 and interpolated over those years.
05

Where is the capacity? The regions

Key points
  • In 2025 the economy grew most in Bogotá (+3.5%) and fell most in Casanare (-2.2%).
  • Versus 2019, 30 of 33 departments are larger; the furthest behind are Cesar, La Guajira, Casanare, economies where mining weighs 27% or more.
  • Bogotá produces 25% of GDP and its GDP per person is 1.7 times Colombia's.
Map of the regions
SAP
GUA
ATL
MAG
COR
SUC
BOL
CES
CHO
ANT
SAN
NSA
ARA
RIS
CAL
CUN
BOY
CAS
VID
VAL
QUI
TOL
BOG
MET
GUN
CAU
HUI
CAQ
GUV
VAU
NAR
PUT
AMA
Real GDP growth of the department versus the previous year.Size of the department's economy versus 2019 (real).Department GDP per person; Colombia = 100.Unemployment rate of the capital city, rolling year (darker = higher).

?Schematic map: each tile is a department, placed roughly where it is. Pick the measure with the buttons. Hover or tap a tile for details.

Source: DANE: departmental accounts and GEIH (32 cities, rolling year); own calculation?Methodology. Schematic map (tile cartogram), not to scale. Growth and size versus 2019: real GDP (chain-linked volumes). GDP per person: current prices, Colombia = 100. Unemployment: the department's capital city (Bogotá is not assigned to Cundinamarca). The latest year is preliminary.
Size of each regional economy versus 2019

?Change in each department's real GDP between 2019 and 2025. The dotted line is Colombia.

Source: DANE, departmental national accounts, base 2015 (GDP by department and by activity annexes)?Methodology. Real GDP of each department in the latest published year versus 2019 (chain-linked volumes, base 2015). Latest year preliminary.
06

What does each region live on?

Key points
  • San Andrés's economy depends 64% on trade and transport; Vaupés's, 53% on gov., educ. and health.
  • By the Herfindahl index, the most diversified department is Antioquia (equivalent to 8.8 equal-sized sectors) and the most concentrated San Andrés (2.3): a concentrated region has less room when its main sector slows.
Production structure by department (2025)

?Each sector's share of the department's value added, at current prices. Darker = larger share. Departments ordered by size.

Source: DANE, departmental national accounts, base 2015 (GDP by department and by activity annexes)?Methodology. Share of each of the 12 ISIC groupings in the department's value added (excluding taxes), at current prices in the latest year.
Diversification: equivalent number of sectors

?Inverse Herfindahl-Hirschman index of sector shares (1/Σs²). With 12 equal sectors it would be 12; the lower it is, the more the region depends on a few sectors.

Source: DANE, departmental national accounts, base 2015 (GDP by department and by activity annexes)?Methodology. Equivalent number = 1 / Σ sᵢ², where sᵢ is branch i's share of the department's value added (Herfindahl, 1950; Hirschman, 1964).
07

Methodological basis and literature

  1. Okun, A. M. (1962). Potential GNP: Its Measurement and Significance. Proceedings of the Business and Economic Statistics Section, ASA.Potential output and the link between output and labour slack.
  2. OIT (2013). Resolución sobre las estadísticas del trabajo, la ocupación y la subutilización de la fuerza de trabajo. 19.ª CIET.Definitions of underemployment, potential labour force and the composite underutilisation measure.
  3. Hodrick, R. J. y Prescott, E. C. (1997). Postwar U.S. Business Cycles. Journal of Money, Credit and Banking, 29(1), 1–16.Trend of each sector and of unemployment.
  4. Hirschman, A. O. (1964). The Paternity of an Index. American Economic Review, 54(5), 761; Herfindahl, O. C. (1950). Concentration in the Steel Industry. Columbia University.Concentration index and equivalent number of sectors.
  5. DANE. Cuentas nacionales departamentales, base 2015: metodología (CD-01).GDP and value added by department and activity.
08

Frequently asked questions

Is Colombia's economy above its capacity?

The economy is producing +0.3% above capacity by the median of five methods, but slack is uneven. Only 4 of 12 sectors run above trend and unemployment is 0.4 pp below its own. 30 of 33 departments already produce more than in 2019; Cesar, La Guajira, Casanare remain below.

How is potential GDP estimated?

With statistical methods that separate trend from cycle, such as the real-time Hodrick-Prescott filter and Hamilton's method. Colombia Macro shows five methods and their range.

Why does productive capacity matter?

Producing above capacity tends to push prices up, while producing below it signals unused resources, such as unemployed workers.

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