Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lubbock County, TX
Series ID MHICILBTX48303A052NCEN
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 22308
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25375
1994-01-01 .
1995-01-01 27307
1996-01-01 .
1997-01-01 29007
1998-01-01 29952
1999-01-01 29722
2000-01-01 30924
2001-01-01 30259
2002-01-01 30310
2003-01-01 31192
2004-01-01 31650
2005-01-01 33222
2006-01-01 35450
2007-01-01 39692
2008-01-01 42504
2009-01-01 37739
2010-01-01 39850
2011-01-01 40956
2012-01-01 39741
2013-01-01 44293
2014-01-01 43869
2015-01-01 44610
2016-01-01 46525
2017-01-01 44456
2018-01-01 47726
2019-01-01 52615
2020-01-01 52647
2021-01-01 54291
2022-01-01 55697
2023-01-01 54679

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