Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Seward County, KS
Series ID MHICILBKS20175A052NCEN
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 22424
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26685
1994-01-01 .
1995-01-01 29984
1996-01-01 .
1997-01-01 32602
1998-01-01 34117
1999-01-01 33568
2000-01-01 34691
2001-01-01 34434
2002-01-01 33865
2003-01-01 34393
2004-01-01 35258
2005-01-01 37182
2006-01-01 37701
2007-01-01 36050
2008-01-01 40619
2009-01-01 41798
2010-01-01 39734
2011-01-01 44676
2012-01-01 45001
2013-01-01 41405
2014-01-01 43424
2015-01-01 41756
2016-01-01 43632
2017-01-01 43863
2018-01-01 45937
2019-01-01 49917
2020-01-01 48654
2021-01-01 55174
2022-01-01 56213

Subscribe to the FRED newsletter


Follow us

Back to Top