Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Saline County, KS
Series ID MHICILBKS20169A052NCEN
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 2:33 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 25147
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29077
1994-01-01 .
1995-01-01 30616
1996-01-01 .
1997-01-01 33587
1998-01-01 35953
1999-01-01 35616
2000-01-01 36525
2001-01-01 35879
2002-01-01 35797
2003-01-01 35953
2004-01-01 36774
2005-01-01 37883
2006-01-01 39355
2007-01-01 39426
2008-01-01 42524
2009-01-01 40182
2010-01-01 40744
2011-01-01 41890
2012-01-01 41601
2013-01-01 45470
2014-01-01 46508
2015-01-01 43675
2016-01-01 45151
2017-01-01 45646
2018-01-01 49132
2019-01-01 52152
2020-01-01 51548
2021-01-01 51808
2022-01-01 52068
2023-01-01 60045

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