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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bleckley County, GA MHICILBGA13023A052NCEN U.S. Census Bureau Small Area Income and Poverty Estimates Not Seasonally Adjusted Annual Dollars 1989-01-01 to 2022-01-01 2023-12-14 1:54 PM CST 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 21999
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25145
1994-01-01 .
1995-01-01 25521
1996-01-01 .
1997-01-01 28669
1998-01-01 28890
1999-01-01 30665
2000-01-01 32016
2001-01-01 31193
2002-01-01 31859
2003-01-01 33140
2004-01-01 33690
2005-01-01 33273
2006-01-01 33604
2007-01-01 34897
2008-01-01 35928
2009-01-01 34674
2010-01-01 34835
2011-01-01 35368
2012-01-01 36990
2013-01-01 36526
2014-01-01 36118
2015-01-01 38663
2016-01-01 36993
2017-01-01 40239
2018-01-01 41144
2019-01-01 42270
2020-01-01 43756
2021-01-01 45447
2022-01-01 49332