Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Larimer County, CO
Series ID MHICILBCO08069A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 PM 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 28162
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33176
1994-01-01 .
1995-01-01 38492
1996-01-01 .
1997-01-01 40951
1998-01-01 42984
1999-01-01 44819
2000-01-01 46429
2001-01-01 46072
2002-01-01 46515
2003-01-01 47384
2004-01-01 48014
2005-01-01 47657
2006-01-01 51594
2007-01-01 50868
2008-01-01 54885
2009-01-01 53161
2010-01-01 52395
2011-01-01 53595
2012-01-01 54471
2013-01-01 56730
2014-01-01 54716
2015-01-01 62292
2016-01-01 63938
2017-01-01 65276
2018-01-01 68569
2019-01-01 72643
2020-01-01 76976
2021-01-01 74775
2022-01-01 82935

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