Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Summit County, CO
Series ID MHICIUBCO08117A052NCEN
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 1:11 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 34689
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40387
1994-01-01 .
1995-01-01 46218
1996-01-01 .
1997-01-01 49499
1998-01-01 51108
1999-01-01 56696
2000-01-01 62173
2001-01-01 61408
2002-01-01 57762
2003-01-01 55500
2004-01-01 56069
2005-01-01 61267
2006-01-01 65385
2007-01-01 74431
2008-01-01 71343
2009-01-01 71368
2010-01-01 64956
2011-01-01 66279
2012-01-01 66948
2013-01-01 69340
2014-01-01 75097
2015-01-01 75169
2016-01-01 76933
2017-01-01 80975
2018-01-01 88106
2019-01-01 95807
2020-01-01 102578
2021-01-01 100524
2022-01-01 108799

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