Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lampasas County, TX
Series ID MHICIUBTX48281A052NCEN
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 1:51 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 23506
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27783
1994-01-01 .
1995-01-01 30049
1996-01-01 .
1997-01-01 31240
1998-01-01 32798
1999-01-01 36219
2000-01-01 39107
2001-01-01 38183
2002-01-01 38283
2003-01-01 37012
2004-01-01 41583
2005-01-01 42037
2006-01-01 46385
2007-01-01 48035
2008-01-01 51529
2009-01-01 49593
2010-01-01 52307
2011-01-01 51156
2012-01-01 52517
2013-01-01 52656
2014-01-01 55503
2015-01-01 55587
2016-01-01 57983
2017-01-01 60745
2018-01-01 60620
2019-01-01 65382
2020-01-01 76258
2021-01-01 71255
2022-01-01 74635

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