Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Larimer County, CO
Series ID MHICIUBCO08069A052NCEN
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 32317
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37400
1994-01-01 .
1995-01-01 44120
1996-01-01 .
1997-01-01 46739
1998-01-01 48726
1999-01-01 50784
2000-01-01 53325
2001-01-01 52472
2002-01-01 52970
2003-01-01 53343
2004-01-01 53982
2005-01-01 50718
2006-01-01 56887
2007-01-01 55068
2008-01-01 58516
2009-01-01 59401
2010-01-01 57083
2011-01-01 57407
2012-01-01 57793
2013-01-01 61944
2014-01-01 60602
2015-01-01 67578
2016-01-01 69184
2017-01-01 73610
2018-01-01 74043
2019-01-01 78021
2020-01-01 83712
2021-01-01 82587
2022-01-01 93741
2023-01-01 92747

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