Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Brazoria County, TX
Series ID MHICIUBTX48039A052NCEN
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 35926
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40550
1994-01-01 .
1995-01-01 43622
1996-01-01 .
1997-01-01 46620
1998-01-01 48819
1999-01-01 49361
2000-01-01 52209
2001-01-01 52447
2002-01-01 54016
2003-01-01 54891
2004-01-01 55763
2005-01-01 53242
2006-01-01 59185
2007-01-01 63318
2008-01-01 67440
2009-01-01 69910
2010-01-01 67278
2011-01-01 64962
2012-01-01 68396
2013-01-01 69796
2014-01-01 76667
2015-01-01 75279
2016-01-01 78265
2017-01-01 84518
2018-01-01 78165
2019-01-01 88708
2020-01-01 88076
2021-01-01 87488
2022-01-01 89883

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