Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ottawa County, KS
Series ID MHICILBKS20143A052NCEN
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 19620
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24456
1994-01-01 .
1995-01-01 28824
1996-01-01 .
1997-01-01 33814
1998-01-01 35767
1999-01-01 35849
2000-01-01 36592
2001-01-01 36524
2002-01-01 37162
2003-01-01 37999
2004-01-01 38532
2005-01-01 37781
2006-01-01 38119
2007-01-01 39446
2008-01-01 41691
2009-01-01 42077
2010-01-01 49885
2011-01-01 44375
2012-01-01 44223
2013-01-01 47494
2014-01-01 47518
2015-01-01 45369
2016-01-01 47436
2017-01-01 42614
2018-01-01 50676
2019-01-01 52605
2020-01-01 52584
2021-01-01 52254
2022-01-01 62079

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