Differences

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--- country:equatorial_guinea [2020/02/25] – CSV data imported Felix Hruschka
+++ country:equatorial_guinea [2022/10/27] (current) – inline edit Felix Hruschka
@@ Line 1: / Line 1: @@
 ====== Equatorial Guinea ======
-==== ASM Population: xxx,xxx ====
+==== ASM Population: 15,000 ====
+UBC-14 data is only statistically calculated, but due to lack of other data, the estimation of **15,000** remains the best available guess.\\
+Min/max: large range of **+ 3,000 /- 5,000** appears reasonable as data has low certainty. Shifted towards the lower side, because of low population of only 1.3 million  \\
+Female participation: perhaps in the "African" range of 30%? -> **5,000?**\\
+Gold: **All** data are for ASGM.
 ==== Data sources for estimation ====
-===2014: 15,000 ===
+=== 2018: 15,000 ===
+IGF-18 and ARM-18 replicate data from UBC-14
+=== 2014: 15,000 ===
 (UBC-14): Gold-only data produced by statistic modelling: \\
   Expected ASM population: 15,000
@@ Line 11: / Line 18: @@
+==== Publications ====
 ---- struct table ----
 schema: biblio
-cols: Reference, Year, Citation
+cols: Reference, Year, Citation, Archived Copy, Link
 sort: ^Year
+csv: 0
 filter : Countries = Equatorial Guinea
 ----
@@ Line 25: / Line 34: @@
 ---- struct data ----
-asmdata.asm_c_code   :
+asmdata.asm_c_code   : GNQ
-asmdata.asm_c_name   :
+asmdata.asm_c_name   : Equatorial Guinea
-asmdata.asm_status   :
+asmdata.asm_status   : Existing (data assessed)
-asmdata.asm_y_last   :
+asmdata.asm_count    : 1
-asmdata.asm_y_source :
+asmdata.asm_y_last   : 2014-01-01
-asmdata.asm_miners_estimate :
+asmdata.asm_y_source : 2018-01-01
-asmdata.asm_miners_min :
+asmdata.asm_miners_estimate : 15000
-asmdata.asm_miners_max :
+asmdata.asgm_miners_estimate : 15000
-asmdata.asm_female_perc :
+asmdata.asm_data_curation :
-asmdata.asm_commodity :
+asmdata.asm_devmin   : no
+asmdata.asm_miners_min : 10000
+asmdata.asm_miners_max : 18000
+asmdata.asm_female   : 5000
+asmdata.asm_commodity : gold
 ----