Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lake County, CO
Series ID MHICIUBCO08065A052NCEN
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 3:12 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 25731
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30296
1994-01-01 .
1995-01-01 35029
1996-01-01 .
1997-01-01 38170
1998-01-01 39946
1999-01-01 39053
2000-01-01 41546
2001-01-01 40072
2002-01-01 38643
2003-01-01 37455
2004-01-01 38509
2005-01-01 42664
2006-01-01 44207
2007-01-01 45421
2008-01-01 52441
2009-01-01 48473
2010-01-01 47724
2011-01-01 47050
2012-01-01 49630
2013-01-01 52081
2014-01-01 51599
2015-01-01 50735
2016-01-01 54172
2017-01-01 55164
2018-01-01 57513
2019-01-01 63382
2020-01-01 70753
2021-01-01 71112
2022-01-01 78164
2023-01-01 91805

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