Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Love County, OK
Series ID MHICIUBOK40085A052NCEN
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 2:31 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 23587
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26106
1994-01-01 .
1995-01-01 28013
1996-01-01 .
1997-01-01 30944
1998-01-01 32656
1999-01-01 33249
2000-01-01 35420
2001-01-01 34630
2002-01-01 34990
2003-01-01 36537
2004-01-01 36674
2005-01-01 38116
2006-01-01 41170
2007-01-01 42506
2008-01-01 45506
2009-01-01 44816
2010-01-01 45783
2011-01-01 44515
2012-01-01 46369
2013-01-01 50017
2014-01-01 55547
2015-01-01 49208
2016-01-01 49381
2017-01-01 52987
2018-01-01 53395
2019-01-01 57222
2020-01-01 60357
2021-01-01 57238
2022-01-01 68595
2023-01-01 64797

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