Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kenedy County, TX
Series ID MHICILBTX48261A052NCEN
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 1:53 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 15580
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17092
1994-01-01 .
1995-01-01 16764
1996-01-01 .
1997-01-01 19350
1998-01-01 19925
1999-01-01 22586
2000-01-01 23655
2001-01-01 23461
2002-01-01 21447
2003-01-01 22387
2004-01-01 24386
2005-01-01 24671
2006-01-01 24597
2007-01-01 27402
2008-01-01 26468
2009-01-01 28873
2010-01-01 30188
2011-01-01 31270
2012-01-01 32606
2013-01-01 34188
2014-01-01 34235
2015-01-01 35807
2016-01-01 34382
2017-01-01 33724
2018-01-01 37404
2019-01-01 40367
2020-01-01 38626
2021-01-01 36994
2022-01-01 37692

Subscribe to the FRED newsletter


Follow us

Back to Top