Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sedgwick County, CO
Series ID MHICIUBCO08115A052NCEN
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 26024
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27399
1994-01-01 .
1995-01-01 29847
1996-01-01 .
1997-01-01 31318
1998-01-01 32165
1999-01-01 30864
2000-01-01 32098
2001-01-01 31199
2002-01-01 30036
2003-01-01 29838
2004-01-01 29850
2005-01-01 32326
2006-01-01 33505
2007-01-01 35286
2008-01-01 38839
2009-01-01 38994
2010-01-01 40304
2011-01-01 41356
2012-01-01 41244
2013-01-01 43817
2014-01-01 48219
2015-01-01 44487
2016-01-01 46441
2017-01-01 44274
2018-01-01 44297
2019-01-01 47704
2020-01-01 50017
2021-01-01 51169
2022-01-01 52755
2023-01-01 51611

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