Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Baca County, CO

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Baca County, CO
Series ID MHICILBCO08009A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 3:13 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 16640
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21274
1994-01-01 .
1995-01-01 20333
1996-01-01 .
1997-01-01 23622
1998-01-01 25742
1999-01-01 26750
2000-01-01 27151
2001-01-01 25997
2002-01-01 23312
2003-01-01 24609
2004-01-01 24758
2005-01-01 26416
2006-01-01 26769
2007-01-01 27314
2008-01-01 28789
2009-01-01 29513
2010-01-01 30075
2011-01-01 31257
2012-01-01 34801
2013-01-01 32581
2014-01-01 32501
2015-01-01 31782
2016-01-01 30807
2017-01-01 32325
2018-01-01 34231
2019-01-01 34251
2020-01-01 36145
2021-01-01 39344
2022-01-01 41256
2023-01-01 41348

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