Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kay County, OK
Series ID MHICILBOK40071A052NCEN
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 23169
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26115
1994-01-01 .
1995-01-01 26320
1996-01-01 .
1997-01-01 28604
1998-01-01 29434
1999-01-01 28957
2000-01-01 29988
2001-01-01 30123
2002-01-01 30208
2003-01-01 31102
2004-01-01 31943
2005-01-01 30898
2006-01-01 34986
2007-01-01 35798
2008-01-01 38041
2009-01-01 34802
2010-01-01 36037
2011-01-01 36006
2012-01-01 36610
2013-01-01 39754
2014-01-01 38975
2015-01-01 40071
2016-01-01 41299
2017-01-01 42183
2018-01-01 42799
2019-01-01 45138
2020-01-01 46329
2021-01-01 46092
2022-01-01 49774
2023-01-01 50908

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