Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lynn County, TX
Series ID MHICIUBTX48305A052NCEN
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 23149
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26147
1994-01-01 .
1995-01-01 26230
1996-01-01 .
1997-01-01 29883
1998-01-01 28720
1999-01-01 28983
2000-01-01 29996
2001-01-01 29280
2002-01-01 28357
2003-01-01 31369
2004-01-01 32614
2005-01-01 34109
2006-01-01 33123
2007-01-01 36060
2008-01-01 38866
2009-01-01 36412
2010-01-01 39475
2011-01-01 40294
2012-01-01 37943
2013-01-01 41246
2014-01-01 45790
2015-01-01 42636
2016-01-01 43732
2017-01-01 49040
2018-01-01 48239
2019-01-01 50770
2020-01-01 58577
2021-01-01 56128
2022-01-01 63105

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