Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Love County, OK
Series ID MHICILBOK40085A052NCEN
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 19084
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21610
1994-01-01 .
1995-01-01 21897
1996-01-01 .
1997-01-01 24589
1998-01-01 26302
1999-01-01 29244
2000-01-01 30560
2001-01-01 30240
2002-01-01 30540
2003-01-01 32217
2004-01-01 32324
2005-01-01 32809
2006-01-01 34566
2007-01-01 35336
2008-01-01 37293
2009-01-01 37624
2010-01-01 37785
2011-01-01 37191
2012-01-01 39797
2013-01-01 42291
2014-01-01 49777
2015-01-01 41238
2016-01-01 41019
2017-01-01 43637
2018-01-01 44055
2019-01-01 45740
2020-01-01 48081
2021-01-01 47172
2022-01-01 60851
2023-01-01 52745

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