Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pueblo County, CO
Series ID MHICIUBCO08101A052NCEN
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 2:32 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 22997
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26369
1994-01-01 .
1995-01-01 30443
1996-01-01 .
1997-01-01 32003
1998-01-01 33666
1999-01-01 33891
2000-01-01 36133
2001-01-01 34863
2002-01-01 35521
2003-01-01 37299
2004-01-01 37882
2005-01-01 38845
2006-01-01 38559
2007-01-01 43098
2008-01-01 44481
2009-01-01 41366
2010-01-01 41532
2011-01-01 43116
2012-01-01 42960
2013-01-01 43567
2014-01-01 43716
2015-01-01 42294
2016-01-01 47530
2017-01-01 46826
2018-01-01 50778
2019-01-01 54742
2020-01-01 53940
2021-01-01 59055
2022-01-01 62638
2023-01-01 67723

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