Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Doniphan County, KS
Series ID MHICILBKS20043A052NCEN
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 3:13 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 20140
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23819
1994-01-01 .
1995-01-01 25206
1996-01-01 .
1997-01-01 28985
1998-01-01 30822
1999-01-01 30728
2000-01-01 31725
2001-01-01 31197
2002-01-01 31051
2003-01-01 31740
2004-01-01 33272
2005-01-01 32220
2006-01-01 34890
2007-01-01 37767
2008-01-01 39325
2009-01-01 38674
2010-01-01 41413
2011-01-01 39331
2012-01-01 40598
2013-01-01 42321
2014-01-01 42877
2015-01-01 42898
2016-01-01 42420
2017-01-01 43332
2018-01-01 45973
2019-01-01 46524
2020-01-01 48934
2021-01-01 52946
2022-01-01 58831
2023-01-01 57042

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